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Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
The Advanced Development team at Roku pushes beyond today’s product lines to invent the next generation of intelligent and generative media systems.
We explore ideas that sit years ahead of production, developing foundational technologies that will redefine how content is understood, created, and personalised across millions of Roku devices.
This is a rare environment — a PhD-level, cross-disciplinary group combining machine learning research, software engineering, and DevOps.
Everyone here is an expert, but not narrowly focused. The team blends deep technical mastery with broad creative vision — people who challenge convention, embrace ambiguity, and build what’s never been built before. It’s a collaborative, low-ego, ownership-driven culture built on trust and curiosity.
We’re seeking an Applied Scientist with a strong foundation in mathematics, machine learning, and computer science, combined with experience in cloud engineering, DevOps, and computer vision — someone who thrives where research meets production.
About the Role
As a Senior Applied Machine Learning Engineer, you’ll help design, build, and deploy the systems that make media smarter.
You’ll work across the full model and software lifecycle, from prototype to production, developing scalable ML pipelines and cloud architectures that power generative AI, intelligent media understanding, content analysis, and advertising intelligence.
You’ll operate at the intersection of machine learning, infrastructure, and software engineering, taking ownership from data collection through deployment — and seeing your work directly influence how audiences experience Roku’s content and advertising ecosystem.
What You’ll Be Doing
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Deploying scalable, fault-tolerant computer vision, media understanding, and generative AI systems to production
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Overseeing the full model development cycle: ideation, prototyping, implementation, deployment, testing, and operations
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Designing uncertainty metrics and communicating results to both technical and non-technical stakeholders
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Gathering and compiling datasets, defining annotation ontologies, auditing annotation operations, and ensuring data quality
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Staying up to date with industry and academic trends in computer vision, machine learning, and generative models for media and advertising
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Working closely with product and other engineering teams to implement new content and advertising experiences through cloud services
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Integrating services from other teams around the company, while also providing reusable ML services to others
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Evaluating and providing feedback on new platform technologies provided by internal teams
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Working with QA teams to address bugs and contribute to automation and quality assurance
We’re Excited If You Have
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A Master’s degree (PhD preferred) in Computer Science, Applied Mathematics, or a related field
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Strong background developing applied machine learning systems using PyTorch or TensorFlow
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Expertise in image processing, computer vision, or natural language processing
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Experience using AWS, GCP, or Azure for storing data, training, and serving models
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Proven ability to evaluate models and communicate insights effectively
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Experience building APIs with frameworks such as GraphQL or REST
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Experience with workflow orchestration tools such as Airflow, Argo, AWS Step Functions, or Metaflow
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Hands-on experience with Docker, Kubernetes, Terraform, CloudFormation, CI/CD automation, and Python build or packaging tools
#LI-PA1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
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Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.
The Team
The Biohub in New York is an independent nonprofit research institute that brings together three powerhouse universities - Columbia University, The Rockefeller University, and Yale University - into a single collaborative technology and discovery engine. Biohub itself supports some of the brightest, boldest engineers, data scientists, and biomedical researchers to investigate the fundamental mechanisms underlying disease and develop new technologies that will lead to actionable diagnostics and effective therapies. We are guided by our values of scholarly excellence; disruptive innovation; hands-on engineering/hacking/building; partnership and collaboration; open communication and respect; inclusiveness; and opportunity for all.
Our Vision
- We pursue large scientific challenges that cannot be pursued in conventional environments
- We enable individual investigators to pursue their riskiest and most innovative ideas
- The technologies developed at Biohub facilitate research by scientists and clinicians at our home institutions and beyond
Diversity of thought, ideas, and perspectives are at the heart of Biohub and enable disruptive innovation and scholarly excellence. We are committed to cultivating an organization where all colleagues feel inspired and know their work makes an important contribution.
The Opportunity
The Biohub is seeking an accomplished Scientist I to lead innovative investigations into spatial architecture of molecular systems and its role in controlling cell state dynamics. In our newly established Synthetic Spatial Omics Laboratory, we advance next-generation spatial multi-omics platforms for understanding how cells process combinatorial signals, designing synthetic biology toolkits, and capturing cellular temporal histories with spatial resolution.
The successful candidate will lead independent research projects integrating spatial multi-omics, synthetic biology, and systems-level analysis to investigate molecular neighborhood reorganization in response to perturbations, engineer programmable cellular functions, and identify the molecular drivers of cell state transitions. This position offers the opportunity to drive both technology development and fundamental discovery in a highly collaborative, interdisciplinary research environment.
What You'll Do
- Lead the development and application of imaging-based multi-omics technologies (e.g., seqFISH and related approaches) to map subcellular molecular organization and cell state transitions.
- Design and perform perturbation experiments to decode how molecular neighborhoods respond to combinatorial signals.
- Engineer synthetic biology systems and profile their behavior using spatial multi-omics to understand and program cellular functions.
- Lead analysis of high-dimensional imaging and sequencing datasets using computational and machine learning approaches to identify organizational and regulatory principles.
- Collaborate closely with researchers across genomics, synthetic biology, machine learning, and related disciplines.
- Contribute to and lead preprints, publications, presentations, and open science practices.
What You'll Bring
Essential -
- PhD in Systems Biology, Molecular Biology, Immunology, Bioengineering or a closely related discipline.
- 3-4+ years of postdoctoral or equivalent research experience, with a strong record of scientific productivity.
- Demonstrated expertise in imaging-based omics and/or sequencing-based single-cell technologies.
- Expertise in molecular biology techniques, including cell culture, nucleic acid workflows, and cellular functional assays.
- Strong computational skills in Python, R, or comparable languages, with experience analyzing large-scale imaging and sequencing datasets.
- Proven ability to independently conceptualize research directions, design rigorous experiments, troubleshoot complex workflows, and lead projects from conception to publication.
- Collaborative mindset and strong scientific communication skills.
Nice to have -
- Established track record in developing novel experimental or computational technologies.
- Prior work with imaging-based transcriptomics or genomics technologies.
- Prior work with immune cell types or immune cell engineering.
- Expertise in synthetic biology, CRISPR technologies, or engineered cell systems.
- Experience with temporal genomics, molecular recording, or lineage-tracing approaches.
- Background in regulatory network analysis, signaling dynamics, or models of cellular computation.
Compensation
The New York City, NY base pay range for a new hire in this role is $120,000.00 - $150,000.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
Benefits for the Whole You
We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
- Provides a generous employer match on employee 401(k) contributions to support planning for the future.
- Paid time off to volunteer at an organization of your choice.
- Funding for select family-forming benefits.
- Relocation support for employees who need assistance moving
If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.
#LI-Hybrid #LI-Onsite
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Sr. Director, Head of Regulatory & Medical Writing
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Nurix Therapeutics is a clinical stage biopharmaceutical company focused on the discovery, development, and commercialization of targeted protein degradation medicines, the next frontier in innovative drug design aimed at improving treatment options for patients with cancer and inflammatory diseases. Powered by a fully AI-integrated discovery engine capable of tackling any protein class, and coupled with unparalleled ligase expertise, Nurix’s dedicated team has built a formidable advantage in translating the science of targeted protein degradation into clinical advancements. Nurix aims to establish degrader-based treatments at the forefront of patient care, writing medicine’s next chapter with a new script to outmatch disease.
Job Summary:
As a key member of the cross-functional Development Team responsible for providing regulatory writing expertise and leadership to formulate the writing strategy for key regulatory documents for submission. The Sr. Director, Head of Regulatory & Medical Writing will be responsible for providing guidance to the medical and or regulatory writing group (contractors and internal writers) assigned to deliverables and ensuring appropriate work allocation and document preparation.; will also provide review and substantive editing of documents to ensure delivery of high-quality documents. This individual will work effectively with many other functional groups, including with Clinical Scientist(s), Medical Monitors, Regulatory and other functions as applicable, and collaborate with clinical medical writing as applicable to ensure scientific excellence in the execution of clinical trials. The Head of Regulatory Writing will build a medical writing group internally when appropriate.
Reporting to the SVP, Head of Regulatory Affairs, this role will be responsible for the regulatory writing & medical writing deliverables of assigned project(s), in accordance with the agreed timelines and quality standards.
Responsibilities:
- Ensure appropriate allocation of internal and external resources needed for all regulatory writing deliverables.
- Hire and manage medical writers internally and manage external medical writing contractors.
- Forecasting and maintaining budget for the regulatory writing team.
- Assess efficiencies, help identify areas of improvement and initiate improvement processes.
- Coordinate, author and edit documents used to support clinical trial conduct and reporting including but not limited to:
- Clinical study protocols and clinical protocol amendments (in partnership with Clinical Science/Clinical Development)
- Clinical study reports
- Investigator’s brochures and annual updates
- IND submissions and annual reports
- Lay-person summary
- Integrated summary reports
- Clinical, Nonclinical and Multidisciplinary Information Amendments
- NDA, BLA, MAA, (e)CTD submissions
- Risk Management Plans
- Health Authority responses
- Briefing Documents, ODDs, BTDs/PRIME, FTD etc
- Participate in relevant subteam(s) and ensure effective planning and management of timelines for all components of assigned documents across all projects.
- Participate in document strategy sessions, including messaging, document flow, logic, and consistency for assigned projects.
- Support and develop deliverables required for global transparency and disclosure requirements (e.g., plain language lay summary, applicable redactions to regulatory documents subject to EU posting regulations and results for EU CTR).Partner with Biometrics in developing standard TFLs and in text tables for deliverables as applicable
- Maintain and support developing and reviewing standard processes and templates.
- Review and edit documents as required.
- Work effectively and lead in cross-functional working groups.
Qualifications:
- Candidates must have a BS with 15+ years, or MS or other advanced science degree (e.g.: RN, NP, MSN, PharmD, PhD, MD) with 10+ years of experience in oncology clinical research experience as a clinical or regulatory medical writer within the pharmaceutical/biotech industry.
- Prior experience leading a regulatory writing group
- Experience writing/leading the writing of critical clinical documents in major regulatory filings (NDA, BLA, MAA).
- Proficiency in the use and understanding of computer software e.g. word processing, graphics, reference manager, document management systems.
- Familiarity with all phases of drug development processes (discovery to market), clinical study protocol design, CTA/IND submissions, investigator’s brochures and clinical study data collection and results reporting.
- Advanced knowledge of routine document content preparation, including the use of style guides, medical dictionaries, and regulatory guidance documents and templates.
- Experience writing, at a minimum, protocols (Phase 1-3, in oncology), investigator’s brochures, clinical study reports, Health Authority briefing packages, and Health Authority responses. Experience with Pediatric Investigational Plans (PIPs) is preferred.
- Advanced understanding/knowledge of regulatory requirements and drug development processes, Good Clinical Practice (GCP), regulatory requirements and guidelines associated with regulatory documents (e.g., protocols, investigator brochures, and clinical study reports).
- Ability to interpret and summarize complex tabular and graphical data presentations.
- Strong organization, documentation and communication skills with an ability to multitask.
- Adaptable / flexible, willing and able to adjust to multiple demands and shifting priorities; ability to meet day-to-day challenges with confidence and professionalism.
- Detailed knowledge of GCP, ICH Guidelines and current US FDA regulations.
Nurix Therapeutics, Inc. is committed to protecting and respecting your privacy and personal information, including information collected by Nurix when you apply for a job with Nurix or in the course of your employment with Nurix. By applying for a position at Nurix, you agree to our collection and use of personal information as described in our Privacy Policy (https://www.nurixtx.com/privacy-policy/).
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Data Scientist: Mission Engineering
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CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats.
CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com.
About the Team: Mission Engineering at CHAOS turns simulation output into decisions. We run large-scale modeling and simulation campaigns across all warfighting domains and the full kill chain, against named threats, in operationally relevant scenarios, at the speed engineering, operational, and customer teams actually need. Every CHAOS engineering trade, pursuit, and customer engagement is anchored in rigorous, physics-based, tactically relevant, and statistically valid analysis, and we're scaling the function to meet that bar across a growing product portfolio.
About the Role: You will own statistical methodology for the Mission Engineering team at CHAOS. You'll design experimental constructs that extract meaningful signals from broad trade studies and computationally expensive simulation runs, build the analytical pipelines the team relies on, push the methodological state of the art on how we characterize uncertainty, build surrogate models, and communicate quantitative results to decision-makers. You will work shoulder-to-shoulder with engineers and experts in every domain to ensure that simulated, experimental, and tactical results presented by CHAOS are rigorous, reproducible, and actually deliver answers that our teams, customers, and partners need
This is a foundational hire. You will have the freedom to move fast and set the standards for how CHAOS does quantitative analysis from day one.
What You'll Do:
- Design rigorous experimental constructs (DOE, space-filling designs, adaptive sampling, sequential experimentation) for large-scale simulation campaigns, getting maximum signal per simulation hour across operationally relevant trade spaces.
- Apply advanced statistical methods (such as regression modeling, Bayesian inference, surrogate/metamodeling, sensitivity analysis, uncertainty quantification, and beyond) to simulation output to produce decision-quality conclusions.
- Build and own scalable Python-based data pipelines for ingestion, processing, statistical analysis, and visualization of large simulation datasets.
- Develop ML and statistical surrogate models that accelerate analysis, enable real-time trade studies, and feed mission planning applications.
- Set team standards for data management, reproducibility, and statistical rigor (such as code review, methodology validation, and documentation practices).
- Translate operational and engineering questions into well-structured analytical approaches alongside M&S engineers, threat SMEs, and program staff. Push back when the framing is wrong.
- Author technical reports and briefing materials with clear, honest data visualizations; present quantitative results to senior technical and non-technical audiences in language they can act on.
- Mentor peers and cross-functional teams on experimental design, statistical methodology, and reproducible analysis.
- Support programs spanning DoD services, DARPA, intelligence community, and commercial customers.
Required Qualifications:
- Bachelor's degree or higher in Statistics, Data Science, Mathematics, Artificial Intelligence, a related quantitative field, or equivalent demonstrated expertise in modern statistical methodology.
- 7+ years applying advanced statistical and data science methods, ideally supporting defense, intelligence, or advanced technology programs.
- Deep working expertise in experimental design, regression and Bayesian methods, uncertainty quantification, and surrogate modeling, not just textbook familiarity.
- Strong proficiency working in Python, including scientific computing and ML libraries (especially Pandas, Polars, NumPy, SciPy, Scikit-Learn, Statsmodels, PyMC, Matplotlib, Seaborn, CuPy, PyTorch), and exposure to MATLAB or R.
- Demonstrated experience building scalable analytical pipelines for large datasets, including comfort with terabyte-scale data and modern dataframe tooling.
- Exceptional data visualization skills and the ability to develop briefing-quality technical products.
- Strong software development practices: version control, code review, reproducible workflows, and informed use of AI-assisted coding tools.
- Track record of working independently, taking ownership of ambiguous problems, and delivering with minimal oversight.
- Comfortable working with Linux operating systems and writing scalable scripts/software.
- Exceptional written and verbal communication skills, especially in translating quantitative approaches and results for non-technical audiences.
- Eligibility to obtain a Top Secret / Sensitive Compartmented Information (TS/SCI) clearance.
Preferred Qualifications:
- Master's or PhD in Statistics, Data Science, Mathematics, Artificial Intelligence, or a related quantitative field.
- Direct experience applying statistical methods to outputs from military simulations including high fidelity engineering models, war games, and engagement or mission-level combat simulations such as AFSIM, ESAMS, Brawler, or Ansys STK.
- Expertise designing and analyzing large-scale Monte Carlo and DOE-driven simulation campaigns supporting full kill chain or system effectiveness assessment.
- Experience in developing surrogate models, simulations, machine learning, or artificial intelligence models for engineering and operations analysis applications.
- Familiarity with sensor performance analysis (radar, EO/IR, RF, acoustic), weapon effectiveness analysis, or mission-level engagement analysis.
- Experience with HPC environments and distributed computing frameworks (including scalable cloud services and GPU-accelerated computing).
- Leadership experience: mentoring or leading project teams through complex analytical efforts.
- Substantial experience in communicating statistical methods to both technical and non-technical stakeholders and decisionmakers.
- Experience supporting rapid development programs for DoD contractors, combatant commands, research labs, and acquisition communities.
- Active TS/SCI clearance.
Why CHAOS?
- Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
- Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
- Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
- Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
- Team Growth: 250 employees and counting across 5 global offices
The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations.
Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.
#LI-onsite
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Technical Program Manager, Discovery
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About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Team
The Discovery team is organized around the north star of building an AI scientist — a system capable of solving the long-horizon reasoning challenges and core capabilities needed to push the scientific frontier. The team trains large-scale models, runs complex multi-week experiments, and builds novel products at the intersection of AI and science.
About the Role
As a Technical Program Manager on the Discovery team, you will own the systems and programs that determine how fast our research moves: compute planning, scientific RL environment health, and the vendor pipelines that supply them, with scope to incubate new programs in domains like bio R&D. Strong candidates should have an ML engineering or research background and have grown into program leadership. You'll need real technical depth: the ability to debug data pipelines, read RL transcripts to spot issues, and make allocation and quality decisions in real time when experimental or production runs hit problems. You'll need organizational effectiveness in equal measure: the ability to navigate a fast-growing organization, quickly identify the critical people and teams across research, infrastructure, product, and data operations, and coordinate across them without losing velocity.
Join us in our mission to build AI systems that push the frontiers of science and benefit humanity.
Responsibilities
- Manage Discovery's compute planning across supervised learning (SL), reinforcement learning (RL), and sandboxing workloads, including forecasting, allocation, prioritization, and efficiency improvements. Partner with central compute planning to ensure Discovery's needs are represented and met.
- Monitor the health of scientific RL environments (quality, reward integrity, failure rates) and drive issues to resolution.
- Expedite the external vendor pipeline for RL environments, including quality review, reward design, and production integration.
- Work with research teams across life sciences, STEM, and other scientific domains to translate research goals into roadmaps that advance AI scientist capabilities.
- Establish processes and frameworks that bring structure to an unstructured research setting without slowing researchers down.
- Collaborate with research leads, infrastructure engineers, and data operations to identify blockers, prioritize competing needs, and make technical trade-off decisions.
You May Be a Good Fit If You:
- Have a background in ML engineering, ML research, or STEM R&D before transitioning to technical program management
- Have deep, hands-on experience with ML training pipelines, RLHF systems, and large-scale data infrastructure in production.
- Have a track record of building execution plans and inventing high-leverage processes that reduce operational overhead and let researchers focus on research.
- Are a fast learner who builds deep contextual understanding in unfamiliar technical domains and can contribute meaningfully to discussions with researchers.
- Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in a fast-moving research setting
- Have excellent stakeholder management and communication skills, with the ability to influence senior technical staff through clarity, competence, and consistent delivery.
- Are excited about the potential for AI to accelerate scientific discovery
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
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Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
You will be joining the part of Stripe’s data science organization that focuses on Growth and Go-to-Market efforts. Sample projects can include but are not limited to:
- Leveraging a wide variety of tools such as experimentation, forecasting, personalization, and algorithmic recommendations to enable businesses to accelerate their journey to accept payments on Stripe, and find additional Stripe financial products that they need to grow their business.
- Delivering comprehensive ROI analysis for Stripe’s growth marketing spend through rigorous measurement methodologies (marketing mix models, multi-touch attribution, lifetime value, long-term holdouts, etc.).
You will be a key strategic partner to the Growth (Product and Engineering), Marketing, Sales, and Finance & Strategy teams, developing both intelligent data products and insights, and creating end-to-end systems and measurement plans for accelerating Stripe’s overall growth engine.
What you’ll do
Responsibilities
- Provide direction to cross-functional partners on business strategy for enabling Stripe’s growth, leveraging your expertise in causal inference / experimentation, modeling, analytical insights, and data foundations.
- Provide senior technical direction to data teams on horizontal technical areas, including experimentation, attribution, forecasting, observability, etc.; assume hands-on leadership, especially when helping teams resolve complex problems through iterative execution.
- Identify broad company problems and opportunities that can be tackled through data science; work with relevant teams to design and build the data science outputs that deliver outsized value to our users and our business.
- Contribute to the overall strategy, roadmap, and vision of your data science team and organization.
- Evangelize and inspire best practices across data science; lead by example to build a culture of craftsmanship and innovation.
- Provide mentorship to our data science talent to help them grow technically and professionally.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 10+ years of data science experience OR equivalent combined industry and research experience in a quantitative field.
- B.S. / M.S. / Ph.D. in a quantitative field (e.g. Statistics, Mathematics, Economics, Operations Research, Quantitative Marketing, Physical Sciences, Engineering, etc.).
- Experience with modern causal inference techniques.
- Demonstrated experience of leading organization-wide initiatives spanning multiple teams, or leveraging deep domain expertise to influence tech roadmap planning and execution.
- Demonstrated ability to effectively collaborate across multiple teams and stakeholders to drive business outcomes.
- Experience creating alignment with stakeholders in ambiguous and complex situations.
- Demonstrated ability to balance execution and velocity with research, statistical depth, and scalable design.
- Experience, mentoring, and investing in the development of peers.
Preferred qualifications
- Strong preference for experience working with Growth, Marketing Measurement, and/or Sales Automation teams.
- Experience in the end-to-end development and production implementation of machine learning, statistical, or forecasting frameworks (beyond building model prototypes).
- Experience developing and deploying metrics / observability frameworks.
Ready to apply?
Apply to Stripe
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We’re looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.
What you'll do
We’re looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Security, Risk, Growth and Go-to-Market teams. You’ll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. As Data Scientists as Stripe, it’s our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum Requirements
- PhD + 3 years, MS/MA + 6 years or BS/BA + 8 years of data science/quantitative modeling experience
- Proficiency in SQL and a computing language such as Python or R
- Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
- Experience in working with cross-functional teams to deliver results
- Ability to communicate results clearly and a focus on driving impact
- A demonstrated ability to manage and deliver on multiple projects with a high attention to detail
- Solid business acumen and experience in synthesizing complex analyses into actionable recommendations
- A builder's mindset with a willingness to question assumptions and conventional wisdom
Preferred qualifications
- Experience deploying models in production and adjusting model thresholds to improve performance
- Experience designing, running, and analyzing complex experiments or leveraging causal inference designs
- Experience with distributed tools such as Spark, Hadoop, etc.
- A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)
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Clinical Research Scientist
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Noom is on a mission to help people live better, longer. We’re a consumer-led digital health company, connecting people to content, coaching, community, and clinicians, to build lasting habits and live healthier lives. We’re a high-growth organization powered by science, technology, and world-class talent. When you join Noom, on any team, you’ll see the impact of your work on the world.
Our Clinical Research Team
Noom’s Clinical Research team generates rigorous, fit-for-purpose evidence that advances our mission across our portfolio of health offerings. We design and execute high-quality clinical and real-world research that supports medication-adjacent care and behavior-change interventions, ensuring our programs are backed by credible science and aligned with regulatory, commercial, and product needs. Our work strengthens Noom’s external scientific reputation while driving internal innovation and growth.
About the Role
As we continue to grow, we’re seeking a Clinical Research Scientist to design and execute rigorous clinical and real-world research across Noom’s health programs. This is a senior individual contributor role responsible for flexing across evidence standards—ranging from medication-adjacent clinical research to consumer-facing evidence development—while maintaining methodological rigor and scientific credibility. You will translate complex scientific findings into actionable insights that inform product strategy, claims development, and commercial decision-making.
You Will
- Design and execute clinical trials, pragmatic studies, and real-world evidence (RWE) initiatives across behavioral programs and digital interventions
- Adapt study designs, endpoints, and levels of rigor based on business and regulatory requirements
- Execute research across traditional site-based clinical settings and decentralized/virtual environments
- Develop statistical analysis plans and oversee analytic execution with senior scientific review
- Identify and mitigate methodological risks related to bias, confounding, and interpretability
- Ensure analytic outputs are defensible for peer review, internal decision-making, and appropriate claims development
- Serve as lead or contributing author on peer-reviewed publications and scientific communications
- Collaborate with academic investigators and external partners on study design, execution, and dissemination
- Translate research findings into clear, defensible insights tailored to product, marketing, medical, and legal/compliance stakeholders
- Align research designs with downstream business use cases while upholding scientific integrity
- Represent Noom’s research function in cross-functional and external forums
About You
If you’re interested in shaping the future of health by generating rigorous, credible evidence that drives trust and growth across innovative health programs, this role may be for you!
You Have
- PhD with advanced training in clinical research methodology, behavioral science, and statistical analysis
- 5–7+ years of related experience designing and executing rigorous clinical studies
- At least 3 years of experience in an academic research setting preferred
- At least 3 years of experience in a corporate or for-profit environment (e.g., digital health, healthcare technology, life sciences) supporting evidence generation and claims development for consumer-facing products preferred
- Demonstrated understanding of the biological and behavioral mechanisms underlying GLP-1–based therapies
- Hands-on experience executing clinical trials, including traditional site-based and decentralized/virtual designs
- Strong statistical expertise and experience overseeing end-to-end analytic workflows
- Proven ability to connect study design and outcomes to claims development and business decision-making
- A publication track record demonstrating methodological rigor and analytical excellence
- Experience securing federal or peer-reviewed grant funding
- Experience collaborating with academic teams and commercial partners
- Demonstrated success interfacing with product and marketing teams to meet business objectives
- Working knowledge of relevant regulatory and compliance frameworks
What Makes This Job Amazing
- The opportunity to shape evidence strategy across innovative, high-impact health programs
A highly visible, senior IC role with meaningful influence on product and scientific strategy - The chance to publish, collaborate externally, and elevate Noom’s scientific credibility
- The ability to translate rigorous science into real-world health impact at scale
What You'll Earn and Enjoy
- Pay that reflects your impact. Compensation benchmarked to the market and shaped by your impact and value.
- Investment in your future. A 401(k) with company match to help you build long-term financial security.
- Time to truly recharge. Paid holidays, generous time off, Summer Fridays, and a company-wide Summer Break week so the whole team can unplug together.
- Care that covers it all. Access to top-tier medical plans for you and your family, including a premium-free plan option, alongside dental, vision, and life insurance.
- Support for growing families. Paid parental leave to give you the time and flexibility to focus on what matters most.
- And more to help you thrive. Stock awards, performance-based bonus, and exclusive access to Noom’s products, so you can grow with us, win with us, and enjoy what we build.
The base salary range for this position is $145,000-$170,000. Actual compensation is determined by job-related factors, including experience, skills, qualifications, and location.
This role is eligible for our NYC or Princeton office locations, operating on a hybrid schedule (2 days per week on-site).
More About Noom
Noom is a leading whole-person health platform on a mission to help people live better, longer. We combine personalized medication with the science of behavior change and psychology, to help people build lasting habits and live longer, healthier lives. With nationally-recognized, holistic programs spanning weight, diabetes prevention, GLP-1 support, menopause, longevity, and more, we serve millions through health plans, employers, and direct-to-consumer offerings. As a trailblazer in the world of health and wellness, Noom makes healthy living easy, fun, and deeply rewarding.
We’re more than a health tech company—we’re a movement. This belief extends to our culture: we empower our people to think big, act boldly, and take pride in their contributions to shaping the future of health. With a strong remote culture, as well as offices in NYC and Princeton, we’ve been named one of the Best Places to Work by Inc., Fortune, Glassdoor, and Quartz—including honors for technology and diversity.
Join us in shaping the future of health. Whether you're remote or in-office, you’ll be part of a passionate, mission-driven team working to make the world a healthier place—one habit at a time.
Noom is proud to be an Equal Opportunity Employer, and all applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, caste, national origin, physical or mental disability, protected veteran status, age, or any other characteristic protected by applicable law. Noom is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities.
To help protect against potential hiring scams, please be aware that all email communications from the Noom Talent team and/or hiring managers will come only from an @noom.com email address. Please ignore any messaging or communication from other domains (e.g. @noom.team). Noom will never ask you for personal payment, require you to purchase equipment, conduct an interview process or messaging exchange via Microsoft Teams, or extend a job offer without the completion of a multi-step interview process featuring a combination of phone, Zoom, and in-person interviews, as well as references. If you are unsure about the validity of a Noom job posting on another website, we strongly encourage you to apply directly through our website.
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Lead Data Scientist — Global Football Metrics
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At Hudl, we build great teams. We hire the best of the best to ensure you’re working with people you can constantly learn from. You’re trusted to get your work done your way while testing the limits of what’s possible and what’s next. We work hard to provide a culture where everyone feels supported, and our employees feel it—their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces.
We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication; the influence of inspiring coaches; and the opportunities to reach new heights. That’s why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more.
Ready to join us?
Your Role
We’re looking for a Lead Data Scientist to join our Global Football Metrics data science team, which is focused on delivering innovative machine learning models to keep Hudl at the cutting edge of sports analytics.
As a Lead Data Scientist, your key responsibilities will include:
- Work with a cross-functional team. You’ll collaborate with Engineering, Quality Assurance, Product, Design and Scrum disciplines to deliver cutting-edge tactical and recruitment insights.
- Develop and deliver. You will have access to industry-leading data from a variety of sources, and will lead the research and development roadmap for new Global Football models and metrics.
- Test new ideas. At Hudl, we iterate rapidly, deploying changes to the product hundreds of times daily across our Engineering team. In addition to working on concrete metrics, you’ll contribute to the implementation of scalable data pipelines and associated orchestration and monitoring tools.
- Mentor. You’ll share your expertise and educate others on development best practices and trade-offs, setting an example in planning, designing and delivering complex projects, and maintaining high standards of statistical rigour.
We’d like to hire someone for this role who lives near our office in London, but we’re also open to remote candidates. Remote candidates would have the ability to work from a co-working space or their home.
Must-Haves
- Technical expertise. You have a strong background in a quantitative discipline, and proven experience implementing statistical and machine learning models for statistical inference in complex systems.
- A team player. You understand that problem-solving is a team effort and will help others on our Engineering team learn and develop their skills.
- User-focused. You’re excited to have your work used by real people to solve real problems.
- Willing to learn. You have solid engineering skills but are always willing to dive into specific areas to gain the expertise needed to be successful in your role.
Nice-to-Haves
- Sports industry experience. If you’ve worked with event or tracking data previously, that’s a plus.
- Tech stack knowledge. Our tech stack is Python, PostgreSQL and Redshift. We will consider strong candidates with experience of R or Stan, but prefer those with more full stack skills and capable of writing production code.
Our Role
- Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
- Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas.
- Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
- Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech you need to do your best work.
- Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees—but no matter where you’re located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.
Compensation
The base salary range for this role is displayed below—starting salaries will typically fall near the middle of this range.
Our compensation decisions are based on an individual's experience, skills and education in line with our internal pay equity practices.
This role will also be eligible for a long-term incentive (LTI) award.
Inclusion at Hudl
Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we’ll create an environment where everyone, no matter their differences, feels like they belong.
We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities. But we recognize there’s ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports.
We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don’t hesitate to apply—we’d love to hear from you.
Privacy Policy
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Staff Scientist – Quantum Applications
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About IonQ:
IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance.
Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before.
Location: This role is based onsite at our headquarters in College Park, MD.
Travel: 10% domestic and international
Job ID: 1490
The Role:
We are looking for a Staff Scientist – Quantum Applications to lead the technical development in utilizing IonQ’s quantum computers to create highly differentiated quantum solutions that will bring value to society. As a Staff Scientist – Quantum Applications, you will be part of the new Quantum Applications team based in College Park, Maryland , you will be a key link to the University of Maryland ecosystem, serving as a bridge to collaborate with world-class faculty and researchers both at UMD and at institutions globally.
You will operate at the intersection of two frontiers: pushing the boundaries of cutting-edge academic research on latest quantum hardwares and developing the next generation of quantum algorithms poised to solve real-world problems better than state-of-the-art classical methods. You will play a key role in developing core IP, computational resource models, long-term roadmaps and end-to-end workflows that have the potential to disrupt the field of computing. You will also work closely with product, engineering, marketing, sales, operations, and external customers/partners to brainstorm new ideas, propose complex, multi-year initiatives and represent IonQ at high-visibility technical conferences (often all in a single day)!
Responsibilities:
- Practical Algorithm Innovation: Lead the hands-on development of Fault-Tolerant Application-Scale Quantum (FASQ) algorithms designed to scale for real-world impact. You will emphasize "hardware-aware" FASQ, ensuring research is rooted in the constraints of practical early fault-tolerant systems to drive scientific and commercial breakthroughs.
- Full-Stack & Hardware-Centric Optimization: Work directly with quantum compiler, cloud, and hardware engineering teams to build highly optimized hybrid workflows specifically tuned for IonQ’s trapped-ion architecture. Your goal is to make the best use of available quantum hardware for proof-of-principle demonstrations and experiments, moving beyond abstract error correction theory.
- Rigorous Algorithm Analysis: Conduct deep technical evaluations comparing quantum algorithms of interest against relevant state-of-the-art classical algorithms. You will identify the specific performance characteristics and scaling behaviors that define the boundary between classical and quantum capabilities.
- Academic Strategy & Advocacy: Act as a primary advocate for IonQ’s academic presence by actively engaging with the UMD faculties. You will guide, propose, and initiate impactful academic research projects that carry significant industrial weight and commercial potential.
- IP & External Influence: Build a robust portfolio of foundational IP and high-impact-factor, peer-reviewed publications. You will represent IonQ’s technical vision at major conferences and in high-level discussions with external stakeholders, emphasizing our path to practical, application-scale quantum advantage.
- Advanced Degree: Ph.D. in Physics, Computer Science, Mathematics, or a related field with 5+ years of professional work experience in quantum research.
- Demonstrated Expertise in Quantum Algorithms: This is the core of the role. You must have a proven track record of developing and implementing novel quantum algorithms (e.g., FASQ, FTQC, or NISQ) for real-world applications.
- Strong Research Portfolio: A history of high-impact research, supported by a strong portfolio of peer-reviewed publications or significant contributions to production-grade quantum codebases.
- Technical Stack Proficiency: Mastery of Python and Qiskit (or similar quantum SDKs), along with experience in High-Performance Computing (HPC) environments.
- Hardware Awareness: While we don't expect you to build the hardware, a deep familiarity with the operation and physical principles of trapped-ion quantum computers is a significant advantage.
- Hardware-Centric Optimization: Experience working directly with hardware engineering teams to tune algorithms for specific architecture constraints.
- Error Mitigation: Proficiency in hardware-level error mitigation and advanced compilation strategies.
The approximate base salary range for this position is $167,808 - $219,704. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.
Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment.
At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued.
We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer.
US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
If you are interested in being a part of our team and mission, we encourage you to apply!
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About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
We are looking for a Senior Data Scientist. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.
What you’ll do
- Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love.
- Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners.
- Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development.
- Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest.
- Leverage AI to seek faster execution (i.e. draft, prototype, outline) and explore alternative options (i.e. iterate, compare approaches).
- Leverage AI to synthesize information (summarize, distill themes) and automate repeatable tasks (documentation, reporting, QA checks).
What we’re looking for
-
- 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data.
- Extensive experience solving analytical problems using quantitative approaches including in the fields of Statistics, Machine Learning, Forecasting, Econometrics or other related fields.
- Experience solving problems within digital advertising is preferred.
- Familiarity with online experimentation and its pitfalls.
- A scientifically and statistically rigorous approach to analysis and data. You rely on statistically valid approaches to problems and have a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output.
- Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R).
- Excellent communication skills and ability to explain learnings to both technical and non-technical partners, including Product and Machine Learning teams.
- A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions.
- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
- Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
- Bachelor’s or Master’s degree in a relevant field such as Data Science, or equivalent experience.
This job posting is for an open vacancy. Please note that the company utilizes artificial intelligence to screen applicants for the positions.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration 1-2 times per half and therefore can be situated anywhere in Ontario.
#LI-HYBRID
#LI-CH1
Our Commitment to Inclusion:
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Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.
The Team
Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology — developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide.
Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships. Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools.
The Opportunity
This is an opportunity to shape the future of biological research by pushing the boundaries of what AI can achieve in science. You’ll work alongside leading experts in AI and biology, with the resources and mandate to tackle some of the most important questions in human health — advancing frontier AI research, accelerating engineering velocity, connecting rich biological data to AI systems, enabling reliable compute across environments, and translating models and data into usable, scalable applications that drive scientific impact.
The role is part of the Data team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development. We're a small team with significant resources and long time horizons. Our goal is to maximize the speed, agility, and capability of biological AI research by connecting public data resources and Biohub's experimental platforms to AI systems. The data that trains biological frontier models comes in dozens of modalities (sequences, images, spatial coordinates, time series, molecular structures, metadata, publication artifacts) each with its own noise characteristics, biases, and information content. The question of how to represent this data for learning is one of the most important open problems in biological AI.
We’re looking for a data scientist with deep expertise in genomics (e.g., bulk and single-cell sequencing, functional genomics, CRISPR screens), who thinks creatively about data representation and tokenization, and can translate that thinking into novel training architectures. You’ll work across experimental, computational, and AI teams to build scalable, interpretable genomic data systems that power next-generation biological models and accelerate human health discovery. You will operate with broad scope and high autonomy, influencing roadmap decisions across teams, and mentoring senior individual contributors. Success in this role means scaling data systems that are not only large, but adaptive, interpretable, and scientifically grounded, accelerating progress toward robust biological frontier models and ultimately advancing human health.
What You'll Do
- Set technical vision and strategy for the design of data representations and tokenization strategies for diverse biological data types that enable novel model architectures.
- Define data standards and quality metrics that enable reliable cross-dataset integration and model-ready data products.
- Develop and validate approaches for combining heterogeneous data modalities into unified training frameworks, designing for robustness to noise, bias, and batch effects
- Evaluate how representation choices impact model performance, identifying which biological signals are captured or lost and iterating to improve
- Partner deeply with ML engineers and AI researchers to co-design datasets and feedback loops that optimize model training, evaluation, and generalization.
- Lead cross-functional initiatives spanning data engineering, infrastructure, science, and product, aligning technical execution with long-term scientific goals.
- Identify and drive new data acquisition and generation opportunities, from external collaborations to internal experimental pipelines.
- Serve as a technical mentor and leader, raising the bar for data science and ML rigor across the organization.
What You'll Bring
- PhD in computational biology, bioinformatics, or a quantitative biological field
- 8+ years of experience working with large-scale biological datasets (genomics, epigenomics, transcriptomics, proteomics, or multi-omics), including ownership of end-to-end data products.
- Deep understanding of biological measurement types (sequencing, imaging, proteomics, or related), their underlying data characteristics, and how to transform raw data into ai-ready datasets.
- Experience designing data representations or feature engineering for machine learning in biomedical contexts
- Strong computational skills (Python, scientific computing libraries); Demonstrated ability to design robust, extensible data architectures and to evolve standards in fast-moving scientific domains.
- Strong expertise in machine learning and statistical modeling, with experience applying these methods to data quality assessment, automation, or decision-making systems. Familiarity with modern ML architectures (transformers, diffusion models, or similar) and how data representation choices affect learning
- Excellent communication skills, with the ability to translate between biology, ML, and engineering audiences.
- Creativity, Curiosity, scientific judgment, and a willingness to engage deeply with new biological domains and emerging AI paradigms.
Compensation
The Redwood City, CA base pay range for a new hire in this role is $214,000 - $294,800. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
This position may be eligible to participate in Biohub's discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with Biohub's total rewards philosophy and may vary by role.
Better Together
As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.
Benefits for the Whole You
We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
- Provides a generous employer match on employee 401(k) contributions to support planning for the future.
- Paid time off to volunteer at an organization of your choice.
- Funding for select family-forming benefits.
- Relocation support for employees who need assistance moving
If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.
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Platform Scientist, Soft Materials
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Your Impact at LILA
Lila Sciences is seeking Platform Scientists, Soft Materials Focus to ideate, prototype, and transfer new experimental concepts for AI Science Factories targeting complex and soft material systems. In this role, you will work at the forefront of scientific ideation—partnering with a broad range of chemistry, materials, and AI teams to define new approaches to formulation, structure–property relationships, and performance evaluation. You will translate these concepts into scalable experimental workflows, custom apparatus, and software-enabled systems for autonomous research.
What You'll Be Building
- Collaborate with diverse scientific teams to ideate new experimental strategies for soft and complex materials, including formulations, colloids, polymers, gels, and biological or hybrid systems
- Lead conceptual development of characterization and performance workflows leveraging techniques such as SAXS, SANS, rheology, and formulation performance assays
- Design, prototype, and validate custom apparatus, experimental methods, and software tools to realize these concepts
- Develop and refine workflows that connect structure, dynamics, and performance across multiple length and time scales
- Transfer successful prototypes into production-ready systems within Lila’s AI Science Factory platform, enabling autonomous experimentation
What You’ll Need to Succeed
- MS or PhD in Materials Science, Chemistry, Chemical Engineering, Physics, or a related field, with a focus on soft or complex materials
- Demonstrated experience collaborating across scientific disciplines to generate and refine experimental concepts
- Hands-on experience with one or more of the following: SAXS, SANS, rheology, formulation performance or functional assays
- Experience designing and implementing custom experimental workflows and/or scientific software
- Strong programming skills (e.g., Python, C++, or similar) applied to data analysis, automation, or experiment control
- Excellent communication skills and comfort operating in a fast-paced, exploratory R&D environment
Bonus Points For
- Experience with lab automation, high-throughput experimentation, or instrument control software
- Background in formulation science (e.g., consumer products, coatings, energy materials, bio-soft matter)
- Experience linking scattering, rheological, and performance data to predictive or ML-driven models
- Familiarity with prototyping tools such as 3D printing, machining, microfluidics, or custom sample environments
- Industry or national lab experience working on soft materials or complex fluids
Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We’re All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
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Software Engineer - HPC Linux (TS/SCI Clearance Required)
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***This job requires active TS/SCI clearance with a CI Polygraph. Please apply only if you have an active TS/SCI clearance with a CI Polygraph. ***
North Point Technology is hiring a hands-on HPC Linux Software Engineer to support mission-critical R&D efforts in a high performance computing environment. This role is ideal for an engineer who can work directly with users, solve complex modeling and simulation challenges, and help strengthen HPC software workflows in a fast-paced on-site lab setting.
Responsibilities:
Support HPC users and technical staff in a research and development environment, helping solve modeling and simulation workflow issues across heterogeneous, multi-platform systems. Develop, maintain, and troubleshoot Linux-based software used in HPC environments, including existing code bases and distributed applications. Partner closely with the Technical User Support team, team lead, Chief Scientist, customers, and site staff to resolve technical problems and improve user effectiveness. Contribute across the software lifecycle including requirements, design, coding, documentation, testing, and maintenance. Provide technical guidance to junior engineers and scientists, lead code reviews, and create training materials, tutorials, and onboarding content for users and internal staff.
Required Qualifications:
- TS/SCI Clearance with CI Polygraph
- Bachelor’s degree in a STEM-related discipline
- 10+ years of professional software engineering experience
- Around 5 years of experience developing and using modeling and simulation software in heterogeneous, multi-platform environments
- Experience supporting HPC user workflows for modeling and simulation problems, including GUI-based workflows
- Knowledge of High Performance Computing environments and related technologies
- Proficiency in Fortran, C, and/or C++
- Proficiency with Bash and Korn shell scripting
- Strong Linux experience, including the ability to troubleshoot end-user system issues independently in a lab environment
- Experience with coding standards, unit testing, and configuration management
- Strong ability to analyze, debug, and maintain existing code bases
- Experience with requirements, use cases, design, coding, documentation, and testing of scalable distributed applications in Linux environments
- Experience mentoring junior engineers or scientists, providing technical guidance, and leading code reviews
- Experience designing and delivering training workshops, tutorials, or onboarding materials for HPC users and internal staff
- Strong communication skills and the ability to work effectively across technical teams and customer stakeholders
- Excellent attention to detail, strong problem-solving ability, and solid organizational skills
Preferred Qualifications:
- Experience working on-site with research and development customers in mission-focused environments
- Experience supporting technical user communities in HPC or scientific computing settings
Background balancing software engineering, end-user support, and technical training responsibilities in the same role
North Point Technology is THE BEST place to work for curious-minded engineers motivated to support our country’s most crucial missions! We focus on long term projects, leveraging the latest technology in support of innovative solutions to solve our customer’s most difficult problems.
At North Point Technology, EMPLOYEES come first! We value our employees by providing excellent compensation, benefits, and a flexible work-life balance. We strive for a close-knit and open atmosphere where the owners are always directly available to our team members.
Come join us! Apply with North Point Technology today!
For positions requiring a federal security clearance, your clearance level must be clearly identified on your resume.
Ready to apply?
Apply to North Point Technology
Staff Data Scientist – Experimentation: Innovation & Research
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Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
As a Staff Data Scientist, you will lead innovation in experimentation and causal inference, helping shape the future of decision-making and product innovation at SIE. You will drive innovative research in experimentation methodologies while mentoring other team members. You’ll be responsible for elevating our experimentation strategy, fostering a culture of curiosity and rigor, and helping cross-functional teams deliver player-first experiences through strong evidence-based decisions.
What You’ll Be Doing:
- Drive innovation in experimentation research by shaping measurement frameworks and best practices, and by developing new methodologies that enhance the quality, speed, and scalability of experiments.
- Advance experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analytical capabilities.
- Mentor and guide less-senior data scientists, building expertise in experimentation and causal inference while providing technical direction to ensure rigor and impact.
- Partner with product managers and business leaders to identify high-impact experimentation opportunities and align them with PlayStation’s strategic goals.
- Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams.
- Contribute to research and prototyping of novel experimentation techniques that address complex real-world challenges, such as user behavior variability and data limitations.
- Champion a data-driven culture by establishing experimentation standards, ethical practices, and reproducibility
- Represent the team’s insights and innovations across the broader data science and product communities within PlayStation.
- Stay at the forefront of the field by monitoring emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve capabilities.
What We’re Looking For:
- Master’s Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field. Ph.D. or equivalent experience preferred.
- Strong familiarity with the gaming industry and contemporary gaming experiences.
- 8+ years of experience in data science, including extensive hands-on work in experimentation, with at least 2+ years in a mentoring or technical leadership capacity.
- Proven track record of leading experimentation innovation and scaling frameworks within a dynamic business environment.
- Proficiency in SQL and statistical programming languages (e.g., R or Python), especially for causal inference, experimental analysis, and scalable modeling.
- Expertise in causal inference techniques and designing both randomized and quasi-experiments.
- Demonstrated ability to collaborate cross-functionally and influence data strategies that inform business and product decisions.
- Excellent communication and storytelling skills, especially in conveying complex concepts to non-technical stakeholders.
- Experience working with modern data engineering and visualization tools (e.g., Airflow, Git, Tableau, MicroStrategy).
- A strong sense of ownership and an inclusive leadership style that encourages collaboration and innovation.
Benefits:
- Discretionary bonus opportunity
- Hybrid Working (within Flexmodes)
- Private Medical Insurance
- Dental Scheme
- 25 days holiday per year
- On Site Gym
- Subsidised Café
- Free soft drinks
- On site bar
- Access to cycle garage and showers
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Ready to apply?
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Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
MarTech Data Science Measurement empowers Airbnb to optimize marketing ROI through data-informed decision-making. We lead the way in defining and advancing best practices for measuring and optimizing marketing impact. We collaborate with Marketing, Finance, Engineering, and Product to provide actionable recommendations and tools based on effective, timely, and granular measurements.
The Difference You Will Make:
We are seeking experienced Data Scientists to serve as technical anchors across our team’s two pillars. The ideal candidate combines depth in causal inference, experimentation, and customer relationship modeling with the ability to drive rigor in solutions and data-informed decision making across the team and our cross-functional partners.
- Actionable: Deliver insights that drive confident business decisions.
- Impactful: Prioritize projects based on their expected value to Airbnb.
- Balanced: Adapt methods to business questions and data realities, acknowledging limitations.
- Rigorous: Maintain methodological integrity and quantify the sensitivity of findings.
- Innovative: Invest in advancing measurement science and developing new methods.
- Influential: Share learnings across Airbnb and the broader data science community.
A Typical Day:
- Causal Inference: Apply and develop causal inference methods to estimate the effectiveness of Airbnb’s marketing initiatives.
- Data Analysis: Conduct data pulls, analyze trends, and create new features to support measurement efforts.
- Experimentation: Design and analyze experiments to evaluate the impact of marketing campaigns.
- Collaboration: Work effectively with cross-functional teams, providing insights that optimize marketing strategies.
- Thought Leadership: Lead the creation of internal white papers and contribute to Airbnb tech blog posts.
Your Expertise:
- PhD in Economics, Statistics, Marketing, or a related field, or a Masters Degree in a similar field with 2+ years of experience.
- Deep knowledge of causal inference methodologies and experimentation techniques.
- Proficiency in statistical programming (Python or R), database usage (SQL), and agentic coding.
- Ability to communicate complex concepts clearly to stakeholders at varying technical levels.
- Proven track record of solving business problems through data science methods.
Preferred Expertise:
- PhD in Economics, Statistics, Marketing, or a related field.
- Passion for marketing and consumer science, with a desire to stay informed about the latest academic research.
- Familiarity with Bayesian modeling and its applications in marketing.
- Experience with causal ML modeling.
- Experience in developing end-to-end models for data-driven decision-making.
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Ready to apply?
Apply to Airbnb
Machine Learning Scientist I/II, Scientific Reasoning
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Your Impact at LILA
As a Machine Learning Scientist focused on Scientific Reasoning, you will help pioneer the next generation of AI systems capable of reasoning like a scientist. You’ll design novel frameworks that push the boundaries of LLM-based reasoning methods — while also implementing scalable frameworks that integrate with Lila’s platforms. This role bridges deep theoretical thinking with practical ML engineering, enabling breakthroughs in how scientific hypotheses are generated, tested, deployed and optimized.
What You'll Be Building
- Design and formalize frameworks for scientific reasoning with LLMs, including structured prompting, reasoning chains, and test-time compute.
- Explore and implement methods for in-context learning, self-reflection, and adaptive reasoning in scientific discovery workflows.
- Build scalable model prototypes that can be deployed to solve frontier scientific problems.
- Collaborate with scientists and engineers to encode domain knowledge into reasoning systems that integrate symbolic and statistical approaches.
What You’ll Need to Succeed
- PhD (preferred) or equivalent research/industry experience in Computer Science, Machine Learning, AI, Engineering, Materials Science or related fields.
- Strong programming skills in Python with deep expertise in LLM frameworks (PyTorch, HuggingFace Transformers, LangChain, LlamaIndex, and related toolkits).
- Expertise in LLM reasoning methods: in-context learning, test-time compute, chain-of-thought, or tool-augmented reasoning.
- Ability to balance theoretical research with practical ML engineering to deliver scalable solutions.
Bonus Points For
- Research experience in causal reasoning, symbolic AI, or probabilistic programming.
- Contributions to open-source LLM reasoning frameworks.
- Familiarity with scientific discovery pipelines in chemistry, biology, or materials science.
- Experience with multimodal reasoning (e.g., combining text, image, and experimental data).
- Publications in top ML/AI conferences (NeurIPS, ICML, ICLR, ACL).
Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We’re All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
Ready to apply?
Apply to Lila Sciences
Senior Research Scientist, Evidence Synthesis
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Do you consider yourself a self-starter with a real passion for projects involving innovative methods in evidence synthesis? Do you love collaborating, moving the ball forward and rolling up your sleeves? We are growing and seeking a Senior Research Scientist with technical experience in systematic literature reviews and/or indirect treatment comparisons (e.g. NMA, MAIC, STC) for the purposes of health technology assessment submissions. We offer opportunities to work 100% remotely from Canada or the US.
Our culture is similar to that of a start-up, but in a well-funded established global portfolio organization. We pride ourselves on being leaders with vision in our field! Below are some examples of recent work we have published as part of our efforts to support our clients:
- Cope S, Chan K, Jansen JP. Multivariate network meta‐analysis of survival function parameters. Research synthesis methods. 2020;11(3):443-456. https://doi.org/10.1002/jrsm.1405
- Freemantle N, Xu Y, Wilson FR, et al. Network meta-analysis of immune-oncology monotherapy as first-line treatment for advanced non-small-cell lung cancer in patients with PD-L1 expression ≥50. Ther Adv Med Oncol. 2022; 14:17588359221105024. https://doi.org/10.1177/17588359221105024
- Watts, JM, Wang, ES, Jonas, BA, Wilson FR, et al. Matching-Adjusted Indirect Comparison of Olutasidenib and Ivosidenib in Isocitrate Dehydrogenase 1-Mutated Relapsed/Refractory Acute Myeloid Leukemia. Adv Ther. 2026;43:1802–1815. https://doi.org/10.1007/s12325-026-03522-6
- Keeping ST, Cope S, Chan K, et al. Comparative effectiveness of nivolumab versus standard of care for third-line patients with small-cell lung cancer. J Comp Eff Res. 2020;9(18):1275–1284. https://doi.org/10.2217/cer-2020-0134
Senior Research Scientists collaborate across a broad portfolio of sophisticated evidence synthesis projects in a multi-level team structure. Responsibilities include development of deliverables (e.g. study protocols and technical reports), handling day-to-day client communications, as well as delegating and overseeing tasks completed by junior researchers. This position will complete complex job responsibilities independently as well as provide mentorship and direction for others in delivering project work.
Essential functions for this role are:
- Subject Matter Expertise/Domain Knowledge
- Demonstrates understanding of the pharmaceutical industry, medical affairs, and requirements for health technology assessments
- Sufficient understanding of relevant methods to be able to oversee systematic literature reviews (clinical, economic, and/or health-related quality of life) and/or quantitative evidence synthesis studies
- Can identify considerations relevant to the synthesis of available evidence and communicate these within deliverables (e.g., feasibility assessments, statistical analysis plans)
- Deliverable Creation
- Develops client-ready deliverables including protocols, statistical analysis plans, technical reports, and slides
- Strategic Direction
- Contributes to short-term resourcing discussions
- Project Management
- Manages the delivery of components of projects by collaborating with other staff members to ensure high quality outputs
- Helps ensure timely delivery and financial performance of projects or project subcomponents
- Estimates required hours and identifies challenges early on and communicates any changes as well as viable solutions to project lead if necessary
- Client Management
- Reviews update slides/minutes and actions for overall study and viewed by client as independent researcher for specific study or component(s)
- Leads client calls and responds to emails, inviting input from senior team members with methodological/subject matter expertise where appropriate
- Line Management/Team Development
- Creates development plans and acts as a mentor for direct reports
- Business Development
- Contributes to development of proposals and presentations under guidance of more senior team members with methodological/subject matter expertise
- May also participate in meetings related to new business, including concept ideation
Minimum required experience for this role is:
- Master’s degree in a subject related to health services research e.g., health economics, public policy, health policy, epidemiology, biostatistics, public health, or science (biology/biochemistry etc.)
- 4-6 years’ professional experience
Core competencies required for this role are:
- Willingness and desire to learn and share knowledge
- Excellent oral and written communication skills
- Proficiency with Microsoft Office and EndNote
- Proficiency in R/R Shiny advantageous
#LI-TB1
#LI-Remote
Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.
Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.
It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.
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Lead Microwave Research Scientist
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About IonQ:
IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance.
Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before.
We are looking for a Lead Microwave Research Scientist. As a Microwave Research Scientist, you’ll be part of a cross-functional team whose mission is to work with IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. In this role, you will develop the requirements for microwave circuits that enable new functionalities for quantum devices. You will design, fabricate, and test microwave circuits for electronic control of qubits. You will develop integration techniques for combining these circuits with optical and electronic devices that optimize for system level performance. You will lead efforts to fabricate and test these devices at the foundry scale.
Responsibilities:
- Work with architecture teams to turn system-level specifications into component-level specifications and design rules
- Design microwave circuits taking into account target performance, fabrication capabilities, and interactions with other components
- Fabricate test devices
- Own relationships with external vendors to scale up fabrication and testing
- Work with internal test and measurement teams to ensure devices meet target specifications
You’d be a good fit with:
- 5 + years of experience fabricating microwave devices
- PhD in electrical engineering, physics, or a related field
- Experience leading cross-disciplinary teams within large projects
You’d be a great fit with:
- Experience with helping in acquiring independent funding for new initiatives
- Experience helping with hiring and training new teams for research and development work
- Knowledge of cryogenic testing and operation
- Familiarity with architectures for distributed quantum computing, sensing, and networking
Location: This role will work onsite at our office located in Boston, MA.
Travel: Less than 10% travel
Job ID: 1160
The approximate base salary range for this position is $141,670 - $181,482. The total compensation package includes base, bonus, and equity.
Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment.
At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued.
We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer.
US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
If you are interested in being a part of our team and mission, we encourage you to apply!
Ready to apply?
Apply to IonQ
About IonQ:
IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance.
Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before.
Location: This position can work onsite or hybrid from one of our offices or fully remote in the US.
Travel: 10% domestic and international
Job ID: 1489
The Role:
We are looking for a Staff Scientist – Quantum Applications to lead the technical development in utilizing IonQ’s quantum computers to create highly differentiated quantum solutions that will bring value to society. As a Staff Scientist – Quantum Applications, you’ll be part of a cross-functional team whose mission is to lead IonQ on a multi-generational journey to solve the world’s most complex problems using the world’s best quantum computers built at IonQ.
As a technical leader in quantum algorithms, you will help discover the next generation of quantum applications that are poised to deliver results exceeding state-of-the-art classical methods. You will play a key role in developing core IP, computational resource models, long-term roadmaps and end-to-end workflows that have the potential to disrupt the field of computing. You will also work closely with product, engineering, marketing, sales, operations, and external customers/partners to brainstorm new ideas, propose complex, multi-year initiatives and represent IonQ at high-visibility technical conferences (often all in a single day)!
Responsibilities:
- Develop impactful hybrid quantum applications that accelerate commercial advantage in practice and at scale. Be part of a client-facing team that finds, defines, and solves problems of real-world interest using IonQ trapped-ion quantum computers.
- Develop and integrate first-of-a-kind quantum algorithms into end-to-end workflows for real-world applications in materials science and combinatorial optimization, including, but not limited to, interfacing with leading commercial and scientific tools such as Synopsys QuantumATK, Quantum ESPRESSO, VASP (materials science and semiconductor applications), Synopsys LS-DYNA, HFSS, Fluent, Sentaurus, Gurobi, CPLEX, Pyomo (optimization applications); translate practical use cases into quantum-native formulations, connect classical simulation outputs to quantum models such as Fermi–Hubbard and Heisenberg Hamiltonians, and map quantum-computing results back into domain workflows for actionable use in production-relevant applications.
- Perform hands-on development of fault-tolerant quantum algorithms and collaborate with the Fault Tolerant Quantum Computing (FTQC) algorithms team at IonQ to create a large scientific and commercial impact across a wide range of industry verticals. Contribute deep expertise in classical and quantum algorithms to evaluate and benchmark approaches (FTQC, NISQ, and HPC), clearly communicating state-of-the-art performance, scaling behavior, trade-offs, and cross-over points to stakeholders while driving adoption of standardized benchmarking metrics and tools.
- Collaborate with quantum compiler, cloud and hardware engineering teams to develop highly optimized hybrid workflows for trapped-ion quantum computers.
- Develop portfolio of foundational IP and high-impact-factor peer-reviewed publications; represent IonQ externally with customer/clients and at conferences.
Requirements:
- Doctorate degree in Physics, Computer Science, Mathematics or another STEM domain, plus 5+ years of professional work experience in the quantum computing field solving the toughest challenges for society.
- Expertise in the quantum simulation of large-scale semiconductor materials and devices, with hands-on experience using tools such as QuantumATK and Quantum ESPRESSO / VASP to analyze band structures, defect states, and related electronic properties across a wide range of materials and lattice types. Experience in parameter extraction / classical simulation transformation for use in quantum-native models for fault tolerant quantum computers.
- Expertise in development and resource estimation of FTQC algorithms across domains in condensed matter physics, semiconductor physics, high energy physics etc. that can scale to millions of qubits, billions of gates with line-of-sight to end-customer value.
- Expertise in application of FTQC algorithms for solving complex combinatorial optimization problems across domains such as transportation, supply chain, logistics and related areas, with hands-on experience developing novel algorithms and software tools for optimization and operations research, supported by a strong track record of peer-reviewed publications and contributions to production-grade codebases.
- Expertise in key mathematical techniques used in quantum computing - linear algebra, matrix decompositions, probability theory, symmetry, computational complexity and ability to communicate from community to business to PhD level.
- Demonstrated expertise in Python and Qiskit or similar quantum SDK; working knowledge of C++.
Preferred Qualifications:
- 7+ years of professional work experience developing end-to-end solutions for realistic industry problems in areas such as computer-aided engineering, semiconductor materials design etc. Demonstrated experience with applying commercial tools to solve problem sets of practical relevance.
- Active participant in the FTQC algorithm community including the development of tools (libraries, simulators, compiler), metrics (costing, resource estimation, ROI) and community (economic development, standards) with an active portfolio of invited talks, repos, licenses, publications and/or patents.
- Success working directly with clients to define and deliver solutions; excellent collaboration and communication skills.
- Experience developing quantum algorithms for NISQ era quantum computers, including hybrid solutions e.g. classical pre/post processing (CPU) and variational (GPU + QPU) energy minimization, QAOA, etc.
- Demonstrated expertise software development using Agentic-AI using Codex, Opus or similar AI assistants.
The approximate base salary range for this position is $167,808 - $219,704. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.
Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment.
At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued.
We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer.
US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
If you are interested in being a part of our team and mission, we encourage you to apply!
Ready to apply?
Apply to IonQ
Senior Research Scientist - Fabrication
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About IonQ:
IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance.
Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before.
Location: This role will be based on-site at our Boston, MA office.
Travel: Less than 10% travel
Job ID: 1462
The Role:
We are looking for a Fabrication Research Scientist. As a Fabrication Research Scientist, you’ll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems.
In this role, you will design, fabricate, and test optical circuits for optical interfaces to qubits. You will develop integration techniques for combining optical and electronic devices that optimize for system level performance. You will lead efforts to fabricate and test these devices at foundry scale.
Responsibilities:
- Work with architecture teams to turn system level specifications into component level specifications and design rules
- Design optical circuits taking into account target performance, fabrication capabilities, and interactions with other components
- Fabricate test devices in a user facility
- Build relationships with external vendors to scale up fabrication and testing
- Partner with internal test and measurement teams to ensure devices meet target specifications
Requirements:
- 5 + years of experience fabricating optical or quantum devices
- A PhD in electrical engineering, physics, or a related field
- Experience leading cross disciplinary teams within large projects
Preferred Qualifications:
- Experience hiring and training new teams for research and development work
- Knowledge of cryogenic testing and operation
- Familiarity with architectures for distributed quantum computing, sensing, and networking
The approximate base salary range for this position is $126,887 - $166,127. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.
Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment.
At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued.
We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer.
US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
If you are interested in being a part of our team and mission, we encourage you to apply!
Ready to apply?
Apply to IonQ
About IonQ:
IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance.
Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before.
We are looking for a Senior Research Scientist for quantum memory development. As a Senior Research Scientist, you’ll lead part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems.
In this role, you will do pioneering work in quantum memories for long-range quantum networks and modular quantum computing. You will work with a world-class team of scientists and engineers to build systems that can rapidly process and store quantum information from photons and apply those systems to building scalable quantum computing systems. Your work will stretch from pioneering systems to operationalizing and scaling quantum memory systems that will be the backbone of the world’s largest quantum computers.
Responsibilities:
- Design and test control sequences for quantum memories with high efficiency and fidelity
- Coordinate with photonic design and fabrication teams to produce high performance nanophotonic devices
- Optimize low-duty cycle tune-up routines to keep quantum memory systems running with high up time
- Continuously improve repetition rate, efficiency, and fidelity of quantum memories
- Interface with RF and optical engineers to scale the control and qubit routing systems for a large scale optical-interconnect architecture
You’d be a good fit with:
- PhD in physics, applied physics, electrical engineering
- Work in quantum optics and microwave control of qubits (ideally spin qubits in diamond)
- Experience designing and testing photonics
- Experience in optically-mediated entanglement protocols between qubits
You’d be a great fit with:
- Experience architecting high performance electro-optic systems
- Experience in cryogenics (especially dilution refrigerators)
- Experience in RF design
- Experience using Lumerical, Comsol, and/or Sonnet for photonics and RF design
Location: Boston, MA
Travel: Occasional domestic travel, 1 to 4 times per year.
Job ID: IONQ-1269
The approximate base salary range for this position is $126,887 - $166,127. The total compensation package includes base, bonus, and equity.
Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment.
At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued.
We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer.
US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
If you are interested in being a part of our team and mission, we encourage you to apply!
Ready to apply?
Apply to IonQ
Senior Staff Scientist – Fault-Tolerant Quantum Algorithms
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About IonQ:
IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance.
Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before.
We are looking for a Senior Staff Scientist – Fault-Tolerant Quantum Algorithms to help lead the technical development of highly differentiated quantum solutions that will bring value to society. As a Senior Staff Scientist – Fault-Tolerant Quantum Algorithms, you’ll guide a cross-functional team whose mandate is central to IonQ’s mission to solve the world’s most complex problems using the world’s best quantum computers.
As a technical leader in the field of fault-tolerant algorithms, you will help discover the next generation of quantum applications that will exceed state-of-the-art classical methods. You will be a core member of technical leadership in quantum algorithms, and you will drive research into new quantum algorithms and develop IP, computational resource models, long-term roadmaps, and end-to-end workflows that have the potential to disrupt the field of computing. You will also work closely with product, engineering, marketing, sales, operations, and external customers/partners to brainstorm new ideas, propose complex, multi-year initiatives and represent IonQ at high-visibility technical conferences (often all in a single day)!
Responsibilities:
- Influence the quantum applications roadmap towards fault-tolerant quantum algorithms that will make a large scientific and commercial impact by leading the origination, execution, and optimization of novel, end-to-end quantum algorithms. Guide other team members towards this goal.
- Perform detailed resource analyses of quantum algorithms and perform SWOT analysis of FTQC approaches compared to NISQ and/or classical methods.
- Provide trusted expertise and leadership in FTQC algorithms and communicate the current state-of-the-art, scaling behaviors, trade offs, cross-over points, etc. to stakeholders across the company.
- Lead technical interactions across multi-disciplinary teams to identify, define and solve challenging real-world problems using IonQ trapped-ion quantum computers.
- Define, develop, and drive adoption of industry-leading benchmarking and resource estimation methodologies, metrics, and tools.
- Develop portfolio of foundational IP and high-impact-factor peer-reviewed publications; represent IonQ externally with customer/clients and at conferences.
You’d be a good fit with:
- PhD in physics, mathematics, computer science, or similar field, or comparable field or equivalent work experience + 5 years of professional experience in the quantum computing field
- 13+ years of professional experience or an equivalent combination of education and experience
- Demonstrated expertise in FTQC algorithms that can scale to millions of qubits, billions of gates with line-of-sight to end-customer value: active portfolio of invited talks, repos, licenses, publications and/or patents.
- Active participant in the FTQC algorithm community via, e.g., development of tools (libraries, simulators, compiler), metrics (costing, resource estimation, ROI), and/or community (economic development, standards)
- Relentless dedication to optimizing algorithmic performance (accuracy, time-to-solution) through elegant theoretical equations, as well as engineering optimization
- Mastery of key mathematical techniques used in quantum computing and quantum algorithm development, and a demonstrated ability to communicate scientific results clearly.
You’d be a great fit with:
- 7+ years of professional work experience developing FT quantum algorithms that align with realistic industry problems such as computer-aided engineering, phase transitions, reaction modeling, cybersecurity, differential equations solving, simulation of physical systems, etc.
- Deep expertise in quantum algorithms for relevant use cases. This could include quantum simulation (e.g., product formulas, qubitization, qDRIFT, etc.), quantum algorithms and primitives (e.g., block-encodings, LCU, QSP, QSVT, Gibbs sampling, quantum linear systems, etc.), and/or end-to-end fault-tolerant quantum algorithms as applied to detailed use cases.
- Demonstrated expertise in Python and Qiskit or similar quantum SDK; working knowledge of C++.
- Experience proposing, winning, and executing on consultative (paid) contracts; government contracting or defense contracting experience a plus
- Experience commercializing end-to-end software utilizing hybrid computing e.g. CPU + GPU + QPU, Edge, Cloud, etc. Knowledge of CI/CD a plus.
Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA, Toronto, Canada, Gothenburg, Sweden) or fully remote in the US
Travel: 10% domestic and international
Job ID: 1254
The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base, bonus, and equity.
Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment.
At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued.
We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer.
US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
If you are interested in being a part of our team and mission, we encourage you to apply!
Ready to apply?
Apply to IonQ
Preclinical Scientist
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Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics for patients worldwide.
Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma.
Legend Biotech is seeking a Preclinical Scientist as part of the Research and Early Development team based in Somerset, NJ.
Role Overview
This position will perform preclinical IND-enabling pharmacology and toxicology studies to support pipeline programs. The ideal candidate will have experience in immunology or immune-oncology to assist preclinical cell therapy studies from discovery to first-in-human trials, and through marketing authorization. Furthermore, the successful candidate will work in a collaborative environment , and would be skillful in driving multiple projects by contributing to the development of cell-based immunotherapies.
Key Responsibilities
- Develop and validate assays to support diverse projects from lead optimization to the conduct of preclinical pharmacology and toxicology studies for regulatory submission. This includes, designing, optimizing, and implementing IND-enabling studies, contributing to the creation, review, and approval of prospective standard operating procedures, executing in vitro and in vivo IND-enabling studies, recording all experiments in an electronic laboratory notebook, reporting any deviations, analyzing and reporting processed data in the form of a study report.
- Design and support in vitro IND-enabling studies to assess efficacy and safety of cell therapies.
- Support the preparation of scientific and regulatory documents of IND-enabling preclinical studies.
- The Preclinical Scientist will work independently reporting directly to the Director of Preclinical Pharmacology and Toxicology.
- The Preclinical Scientist will demonstrate competency and professionalism especially as it pertains to using the scientific method to design, execute, and troubleshoot in vitro laboratory experiments.
Requirements
- BS plus 5 years of experience, MS plus 3 years of experience.
- Work experience in immunology, cancer biology or related fields.
- Knowledge and expertise in immune-oncology of large molecules or cell therapy is a plus.
- Strong scientific background with hands on experience in cellular and molecular biology techniques (e.g., flow cytometry, ELISA, cell culture and cytotoxicity assays, qPCR, Western Blot and others).
- Demonstrated track record of scientific contributions in peer-reviewed journals and symposia.
- Ability to manage multiple programs in parallel while delivering on key milestones.
- Knowledge of GLP and regulatory agencies is a plus.
- Ability to multi-task in a fast-paced, highly collaborative diverse team environment.
#Li-JR1
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The base pay range below is what Legend Biotech USA Inc. reasonably expects to offer at the time of posting. Actual compensation may vary based on experience, skills, qualifications, and geographic location. The company reserves the right to modify this range as needed and in accordance with applicable laws.
Other Types of Pay: Performance-based bonus and/or equity is available to employees in eligible roles.
Benefits and Paid Time Off: Medical, dental, and vision insurance as well as a 401(k) retirement plan with a company match that vests fully on day one. We offer eight (8) weeks of paid parental leave after just three (3) months of employment, and a paid time off policy that includes vacation time, personal time, sick time, floating holidays, and eleven (11) company holidays. Additional voluntary benefits include flexible spending and health savings accounts, life and AD&D insurance, short- and long-term disability coverage, legal assistance, and supplemental plans such as pet, critical illness, accident, and hospital indemnity insurance. We also provide voluntary commuter benefits, family planning and care resources, well-being initiatives, and peer-to-peer recognition programs; demonstrating our ongoing commitment to building a culture where our people feel empowered, supported, and inspired to do their best work.
Please note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech.
EEO Statement
It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances.
Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company.
Ready to apply?
Apply to Legend Biotech US
Principal Scientist, Vector Biology
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Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics for patients worldwide.
Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma.
Legend Biotech is seeking an Principal Scientist, Vector Biology as part of the Vector Biology Upstream team based in Philadelphia, PA.
Role Overview
Legend Biotech seeks a highly experienced and scientifically driven Principal Scientist to join the Vector Biology Upstream team in Philadelphia, with a strategic focus on early process development and the establishment of a manufacturable lentiviral vector (LVV) platform in support of in-vivo CAR-T programs. This senior individual contributor role will serve as a scientific cornerstone within R&D, leading the early-stage definition, interrogation, and optimization of upstream LVV processes from molecular construct design through scalable bioreactor manufacturing with the deliberate intent of building a robust, developable process foundation that can be advanced into late-stage development and commercialization. The Principal Scientist will bring a rare combination of molecular biology depth and bioprocess engineering breadth, functioning as a key technical authority who bridges construct-level design decisions with upstream process outcomes, while closely interfacing with Downstream, Analytical, and Technical Development partners to ensure end-to-end process coherence and readiness for technology transfer.
Key Responsibilities
- Establish and optimize early-stage seed train strategies from shake flask through bench-scale bioreactor, defining the foundational process parameters, cell culture conditions, and operational ranges that will underpin a scalable and manufacturable LVV platform.
- Apply molecular biology expertise to evaluate LVV constructs encompassing plasmid architecture, packaging system selection, promoter and transgene configuration, and transfer vector optimization to establish high-performing, platform-compatible vectors that meet manufacturability and potency requirements for in-vivo CAR-T applications.
- Design and optimize LVV production workflows, including transient transfection systems and emerging stable producer cell line platforms, to systematically improve vector yield, product quality attributes, and process robustness as part of an integrated early process development strategy.
- Conduct systematic media optimization, feeding strategy evaluation, and bioreactor process control development to define process setpoints, identify critical process parameters (CPPs), and establish the mechanistic understanding needed to support scale-up to 40-L and beyond.
- Partner closely with Downstream colleagues to understand purification process constraints and integrate upstream design decisions including harvest conditions, clarification approaches, and vector quality attributes that enable a cohesive, end-to-end manufacturable process.
- Design and execute fit-for-purpose early process development studies to generate the foundational data packages required for process lock, comparability assessments, and downstream regulatory filings; apply structured Design of Experiments (DoE) and risk-based approaches to maximize information yield.
- Serve as the upstream scientific lead within Vector Biology, providing authoritative technical input to cross-functional forums on construct-process relationships, early development strategy, and the stage-appropriate advancement of research findings into formal process development programs aligned with IND-enabling timelines.
- Exercise a high degree of scientific independence in designing and executing complex experiments; proactively identify technical risks, generate mechanistic hypotheses, and implement data-driven solutions with minimal oversight to keep early development programs on track.
- Synthesize complex experimental datasets into clear, structured data packages and deliver evidence-based technical recommendations that drive go/no-go decisions, inform process development strategy, and support program progression within Vector Biology and across R&D functional teams.
- Author high-caliber technical reports, early process development summaries, and stage-gate presentations that communicate scientific progress, key process decisions, and development risk assessments to Vector Biology leadership and cross-functional R&D stakeholders.
- Operate in full adherence to BSL-2 biosafety requirements and Legend Biotech’s research policies; maintain rigorous, contemporaneous electronic laboratory notebook records that meet scientific reproducibility standards and support future transition into GxP-aligned development stages.
- Champion experimental reproducibility and data integrity through rigorous, organized documentation practices that meet the highest standards of scientific rigor and regulatory traceability.
- Apply molecular biology expertise to design, engineer, and evaluate LVV constructs encompassing plasmid architecture, packaging system selection, promoter and transgene configuration, and transfer vector optimization to establish high-performing, platform-compatible vectors that meet manufacturability and potency requirements for in-vivo CAR-T applications.
Requirements
- MS degree with 10+ years; or PhD degree with ~5-8+ years of progressive industry experience in Bioengineering, Cell Biology and Chemical Engineering, or a closely related discipline. Advanced degree (PhD) with a molecular biology or virology foundation is preferred for this Principal Scientist role in early process development.
- Demonstrated hands-on expertise in viral vector production, upstream process development, and characterization across multiple development scales, with a clear track record of translating early research-stage processes toward manufacturable, scalable platforms (required).
- Substantial experience in mammalian suspension cell culture and upstream bioprocessing, with meaningful exposure to molecular biology workflows relevant to viral vector construct engineering.
- Experience with bioreactor operations (up to 50 L preferred) and familiarity with downstream processing operations including clarification, chromatographic purification, and tangential flow filtration with the ability to apply downstream process constraints to upstream design decisions is a strong differentiator.
- Meaningful early process development experience within gene therapy or viral vector platforms, with direct hands-on contribution to defining manufacturable upstream processes from concept through bioreactor scale.
- Exceptional analytical acumen and structured scientific reasoning; experienced in the application of Design of Experiments (DoE), multivariate data analysis, and risk-based decision frameworks to accelerate early process development and maximize learning efficiency.
- Demonstrated commitment to scientific rigor and research data integrity, with proficiency in maintaining meticulous, contemporaneous electronic laboratory notebook records that ensure experimental reproducibility and are structured to support future GxP-aligned technology transfer activities.
- Highly organized and execution-oriented, with demonstrated capacity to manage multiple concurrent early development workstreams, prioritize effectively in a fast-paced R&D environment, and deliver scientifically sound results within program-driven timelines.
- Exemplary oral and written communication skills, with the ability to translate complex early process development findings into compelling scientific narratives for diverse audiences including R&D leadership, CMC colleagues, and cross-functional program teams while operating with equal effectiveness as a self-directed scientific contributor and an engaged collaborative partner
- Proficiency in molecular biology techniques central to viral vector construct design, including plasmid architecture and engineering, packaging system configuration, promoter selection and regulatory element optimization, transgene design, and transfer vector development to support LVV platform optimization (preferred).
- Working knowledge of downstream processing operations —encompassing harvest and clarification strategies, affinity and ion-exchange chromatography, and tangential flow filtration — with the scientific acuity to incorporate purification process requirements and vector quality attribute targets into upstream process design; experience in integrated upstream-downstream process development is preferred.
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Please note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech.
EEO Statement
It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances.
Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company.
Ready to apply?
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Sr. Principal/Principal Scientist
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Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics for patients worldwide.
Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma.
Legend Biotech is seeking a Sr. Principal/Principal Scientist as part of the Research & Early Development team based in Somerset, NJ.
Role Overview
Legend Biotech is seeking a highly experienced Senior Principal Scientist / Principal Scientist – Flow Cytometry to provide scientific leadership and hands-on expertise in flow cytometry to support cell and gene therapy programs from IND-enabling studies through early- and late-stage clinical development. This role is critical for ensuring scientific rigor, data quality, and strategic insight across in-house and outsourced flow cytometry activities, including assay development, validation, CRO oversight, and deep data interpretation to support translational, PK/PD, and regulatory decision-making.
Key Responsibilities
Scientific & Technical Leadership
- Lead the design, development, optimization, qualification, and validation of multicolor and spectral flow cytometry assays supporting IND-enabling animal studies and clinical trials.
- Provide subject-matter expertise in panel design, antibody and reagent qualification, gating strategies, and data analysis for complex immunophenotyping applications.
- Conduct deep scientific review and interpretation of flow cytometry datasets to support PK/PD, mechanism-of-action, and translational insights.
CRO & Vendor Oversight
- Serve as the primary scientific lead for external laboratories and CROs performing flow cytometry assays.
- Oversee assay transfer, validation, execution, troubleshooting, and data delivery at CROs.
- Ensure outsourced activities meet Legend quality standards, regulatory expectations, and program timelines.
- Identify risks related to assay performance, data quality, and operational execution, and implement mitigation strategies.
Regulatory & Compliance
- Author, review, and approve bioanalytical assay validation reports, study reports, and regulatory documentation.
- Ensure flow cytometry assays and data packages are inspection-ready and compliant with GxP principles and data integrity requirements.
- Contribute to bioanalytical sections of IND and other regulatory submissions.
Cross-Functional Collaboration
- Partner with Clinical, Translational Research, Biomarkers, Nonclinical Safety, and Data Science teams to align assay strategy with program objectives.
- Provide scientific input to study design, endpoint selection, and interpretation of bioanalytical results.
- Communicate complex data clearly to multidisciplinary stakeholders.
Operational Excellence & Mentorship
- Establish and maintain SOPs, best practices, and governance for in-house flow cytometry workflows.
- Mentor and scientifically guide junior scientists and associates.
- Evaluate and implement new technologies, platforms, and analytical approaches to enhance capabilities.
Requirements
- Ph.D. in Immunology, Cell Biology, Molecular Biology, or related discipline with 8+ years (Principal Scientist) or 10+ years (Senior Principal Scientist) of relevant industry experience; or M.S. with 12+ years of experience.
- Extensive hands-on experience with multicolor and spectral flow cytometry platforms.
- Demonstrated experience supporting cell therapy and/or gene therapy programs.
- Strong understanding of bioanalytical method development, validation, and regulatory expectations.
- Proven ability to lead complex programs, influence cross-functional teams, and provide strategic scientific direction.
- Experience overseeing CROs and external vendors.
- Excellent written and verbal communication skills.
- Experience with CAR-T, in vivo gene delivery, or other advanced cell therapy platforms.
- Experience contributing to IND-enabling or regulatory filings.
- Background in translational PK/PD applications of flow cytometry.
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The base pay range below is what Legend Biotech USA Inc. reasonably expects to offer at the time of posting. Actual compensation may vary based on experience, skills, qualifications, and geographic location. The company reserves the right to modify this range as needed and in accordance with applicable laws.
Other Types of Pay: Performance-based bonus and/or equity is available to employees in eligible roles.
Benefits and Paid Time Off: Medical, dental, and vision insurance as well as a 401(k) retirement plan with a company match that vests fully on day one. We offer eight (8) weeks of paid parental leave after just three (3) months of employment, and a paid time off policy that includes vacation time, personal time, sick time, floating holidays, and eleven (11) company holidays. Additional voluntary benefits include flexible spending and health savings accounts, life and AD&D insurance, short- and long-term disability coverage, legal assistance, and supplemental plans such as pet, critical illness, accident, and hospital indemnity insurance. We also provide voluntary commuter benefits, family planning and care resources, well-being initiatives, and peer-to-peer recognition programs; demonstrating our ongoing commitment to building a culture where our people feel empowered, supported, and inspired to do their best work.
Please note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech.
EEO Statement
It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances.
Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company.
Ready to apply?
Apply to Legend Biotech US
Principal Scientist, Clinical Biomarker, Immunology, Immuno-Oncology, & Hematology (Contractor)
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Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics for patients worldwide.
Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma.
Legend Biotech is seeking a Principal Scientist, Clinical Biomarker, Immunology, Immuno-Oncology, & Hematology (Contractor) as part of the Research & Development team based in Somerset, NJ.
Role Overview
We are seeking a highly motivated and innovative Principal Scientist to join our immunology and immuno-oncology (IO) clinical biomarker projects, with a dedicated focus on hematological malignancies. In this role, you will drive the clinical translational understanding of novel therapy in hematology. You will serve as the biology lead on cross-functional project teams, drive MOA of novel cell therapy and clinical biomarker strategy.
Contract Duration: 12 months
Key Responsibilities
- Scientific Leadership: Design, execute, and analysis results from clinical studies to investigate the mechanisms of action for novel IO targets in hematological indications (e.g., AML, DLBCL, Multiple Myeloma).
- Translational Strategy: Bridge discovery and clinical development by utilizing primary human samples and clinical datasets to validate targets and understand the immune microenvironment in hematology.
- Understanding MOA: Oversee the generation and interpretation of high-dimensional molecular and cellular data. Leverage advanced single-cell technologies (e.g., scRNA-seq) to deeply profile immune cell compartments, particularly T-cell states and exhaustion markers, to inform patient stratification and biomarker hypotheses.
- Cross-Functional Collaboration: Partner closely with other functional teams for better understanding of MOA and fundamental immunology
Requirements
- Ph.D. in Immunology, Immuno-Oncology, Cellular Biology, or a closely related discipline, can initiate and lead data driven MOA studies. Experience with cell therapy a plus but not required.
- A minimum of 5-8+ years of post-doctoral and/or industry experience in biotech or pharma, with a proven track record of advancing IO programs. Deep understanding of immunology, particularly T cell biology highly desirable.
- Deep biological understanding of hematological malignancies and the unique tumor immune microenvironment of the blood and bone marrow.
- Experience working with multiple dimensional data, extract biological insights from data highly desirable.
- Exceptional written and verbal communication skills, with the ability to distill complex data into clear, actionable strategic decisions.
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Please note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech.
EEO Statement
It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances.
Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company.
Ready to apply?
Apply to Legend Biotech US
Scientist, In Vivo CAR-T Pipeline
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Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics for patients worldwide.
Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma.
Legend Biotech is seeking a Scientist, In Vivo CAR-T Pipeline as part of the Research and Development team based in Philadelphia, PA.
Role Overview
Legend Biotech is a global leader in the development of innovative cell-based therapies. We are seeking a highly motivated Scientist to join our growing in vivo CAR-T development team. This role provides the opportunity to make a direct scientific impact by advancing our in vivo CAR-T platform from early discovery through preclinical development.
The successful candidate will bring deep technical expertise in cell&gene therapy, along with a strong foundation in immunology and virology. You will work in a highly collaborative environment alongside research and early development teams to translate novel scientific concepts into robust therapeutic candidates. This role requires scientific rigor, hands-on execution, intellectual curiosity, and the ability to thrive in a fast-paced research setting.
This is a fully onsite, lab-based position located in Philadelphia, PA.
Key Responsibilities
- Design, plan, and execute experimental studies to advance cell and gene therapy platforms and pipeline programs.
- Conduct and analyze in vitro and in vivo studies to assess product potency, efficacy, and safety.
- Develop, optimize, and troubleshoot experimental assays, including:
- Cell line engineering
- Cell-based functional and cytotoxicity assays
- ELISA and PCR-based assays
- High-throughput binder screening
- Viral vector packaging and titration
- Analyze and interpret complex datasets and maintain accurate experimental documentation.
- Prepare clear, high-quality reports and presentations and communicate findings to internal research and cross-functional teams.
Requirements
- PhD in Immunology, Cell Biology, Molecular
- OR Master’s degree with 3–6+ years of relevant experience
- Hands-on experience in immunology, cell therapy, gene therapy, or related fields
- Experience with viral vector systems (especially lentivirus) is highly preferred
- Industry or postdoctoral experience is a plus
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#Li-Onsite
Please note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech.
EEO Statement
It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances.
Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company.
Ready to apply?
Apply to Legend Biotech US
Senior Scientist/Principal Scientist, Quantitative Pharmacology (Contractor)
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Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics for patients worldwide.
Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma.
Legend Biotech is seeking Senior Scientist/Principal Scientist, Quantitative Pharmacology (Contractor) as part of the Research & Early Development team based in Somerset, NJ.
Role Overview
The position seeks a highly motivated and experienced quantitative pharmacologist to lead modeling and simulation efforts in support of gene and cell therapy products, with a focus on QSP and popPK modeling (Prior cell and gene therapy experience preferred).
Contract Duration: 12 Months
Key Responsibilities
- Lead QSP and popPK modeling activities across preclinical and clinical development stages.
- Play a pivotal role in shaping clinical pharmacology strategies, supporting regulatory submissions, and driving innovation in model-informed drug development (MIDD).
- Develop and apply mechanistic models to understand disease pathways, drug mechanisms, and patient variability.
- Conduct simulations to support dose selection, trial design, and exposure-response analyses.
- Collaborate cross-functionally with R&D, clinical, regulatory, and biostatistics teams.
- Author and review clinical pharmacology sections of regulatory documents (e.g., INDs, NDAs).
- Contribute to scientific publications and conference presentations.
Requirements
- R&D, Preclinical development, Clinical, CMC and regulatory
- MS/PhD/Pharm D in Pharmaceutical Sciences, Clinical Pharmacology, Applied Mathematics, Biomedical Engineering, or related quantitative discipline.
- 7+ years with MS degree or 3+ years with PhD/Pharm D degree of working experience in quantitative pharmacology or pharmacometrics in pharmaceutical companies or CRO companies (Job titles will be decided per applicant’s working experience)
- Have strong execution ability
- Strong independent scientific research ability, logical thinking, and coordination/problem-solving skills
- Have clear written and oral communication skills
- Have a good team spirit
- Demonstrated expertise in QSP and popPK modeling, including proficiency with tools such as NONMEM, R, MATLAB, Monolix, etc.
- Deep understanding of PK/PD principles, translational medicine, and the role of quantitative pharmacology and model-informed drug development (MIDD) in clinical trials and drug development.
- Demonstrated ability and experience in applying modelling and simulation approaches to enable rational and efficient preclinical and clinical drug development.
- Familiar with regulatory requirements and guidelines of clinical pharmacology.
- Good project management skills, and the ability to collaborate with other departments and manage with internal and external partners.
- Proven track record of scientific contributions through publications or presentations.
- Good personality, honest and trustworthy.
- Physically and mentally healthy, love life.
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Please note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech.
EEO Statement
It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances.
Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company.
Ready to apply?
Apply to Legend Biotech US
US: Senior Clinical Research Scientist
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Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics for patients worldwide.
Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma.
Legend Biotech is seeking a Senior Clinical Research Scientist as part of the Clinical Development team based in Somerset, NJ.
Role Overview
The Clinical Research Scientist (CS) in Clinical Development is an important role in the company supporting the development and life cycle of drug development projects. The Clinical Research Scientist will work closely with the Clinical Trial Lead/Medical Lead and Clinical Trial Manager to design and implement clinical trial protocols and manage sites, CROs and other associated work. In addition, the CS will support their manager to ensure program consistency & alignment across studies, working closely with cross-functional teams for achieving project goals, within timelines & with high quality. This clinical scientist will support early phase drug development in autoimmune indications.
Key Responsibilities
- Responsible to ensure the data review and cleaning activities meet the quality standards to support database locks in collaboration with data management and medical lead/clinical trial lead. Uses clinical and disease state knowledge to make recommendations for methods and strategy for data cleaning approach
- Collaborate with other functions to successfully support the planning and execution of clinical studies. Provides independent leadership of all areas requiring clinical input with oversight from the assigned Clinical Trial Lead/Medical Lead, and provides innovative and quality solutions for assigned problems and tasks.
- Provides clinical input and strategic recommendations for the planning and implementation of assigned clinical trial(s) including investigator selection, patient recruitment, feasibility questionnaire, training PowerPoints, and supporting Ethics committee submissions.
- Contributes to the strategic planning, preparation, and review of clinical documents (Protocol, ICFs, CSR, investigator brochure). May lead certain documents or sections of documents, including incorporation of input from other cross-functional team members.
- Provides clinical input and strategic recommendations for regulatory documents needed for all stages of assigned trial lifecycle (IND documentation, HA briefing books, BLAs, and Orphan Drug Applications).
- Responsible for clinical portions of key data management/statistical documents (eg: Case Report Forms, edit checks, data review plan and reports).
- Contribute to the planning and execution of external meetings and internal stakeholder meetings (e.g., Ad Boards, IMs, Governance, DMCs, Regulatory Authority, Dose Escalation meeting); responds to or triages questions for appropriate escalations. May have a speaking role on meetings when appropriate.
- Supports their manager when asked to contribute to harmonization between clinical trials and process improvement initiatives.
- May have the authority to make decisions related to issuing data cleaning queries and can decide whether there is a need to escalate for further discussion with the medical lead. They may also be delegated tasks from the clinical trial lead/medical lead for which they have decision making authority e.g. comment resolution when leading document creation.
Requirements
- At least a Bachelor’s degree in life science discipline.
- Bachelor’s degree with 4+ years’; or MS with 3+ years’; or PharmD/PhD with 2+ years of pharma experience in clinical development or related function.
- CAR-T cell therapy and/or autoimmune disease experience is a plus.
- Good interpersonal & communication skills, including oral, written and interpersonal.
- Ability to effectively manage conflicts and negotiations while providing impact and influence.
- Collaborative with the ability to operate across multiple geographies.
- Good leadership & organizational skills, analytical skills, and presentation skills.
- Creative problem-solving skills.
- Strong organizational and project management skill and the ability to multitask.
- Computer literacy required (MS word, MS excel, MS PowerPoint and MS Project).
- Oncology Therapeutic Experience preferred.
- Excellent working knowledge of GCP, FDA and ICH Guidelines.
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The base pay range below is what Legend Biotech USA Inc. reasonably expects to offer at the time of posting. Actual compensation may vary based on experience, skills, qualifications, and geographic location. The company reserves the right to modify this range as needed and in accordance with applicable laws.
Other Types of Pay: Performance-based bonus and/or equity is available to employees in eligible roles.
Benefits and Paid Time Off: Medical, dental, and vision insurance as well as a 401(k) retirement plan with a company match that vests fully on day one. We offer eight (8) weeks of paid parental leave after just three (3) months of employment, and a paid time off policy that includes vacation time, personal time, sick time, floating holidays, and eleven (11) company holidays. Additional voluntary benefits include flexible spending and health savings accounts, life and AD&D insurance, short- and long-term disability coverage, legal assistance, and supplemental plans such as pet, critical illness, accident, and hospital indemnity insurance. We also provide voluntary commuter benefits, family planning and care resources, well-being initiatives, and peer-to-peer recognition programs; demonstrating our ongoing commitment to building a culture where our people feel empowered, supported, and inspired to do their best work.
Please note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech.
EEO Statement
It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances.
Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company.
Ready to apply?
Apply to Legend Biotech US
Chief Scientific Officer
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Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics for patients worldwide.
Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma.
Legend Biotech is seeking a Chief Scientific Officer as part of the Research & Development team based in Somerset, NJ.
Role Overview
Legend Biotech is recruiting a visionary scientist, an accomplished drug hunter and a skilled organization/business leader as Chief Scientific Officer (CSO). The CSO will lead and oversee the global Research strategy and operations and is responsible for driving the scientific vision and overseeing research activities. The CSO is expected to deliver highly innovative and industrial-leading technology platforms and transformative therapies from initial concept to Development Candidate. Reporting to President of Research and Development, the CSO will be responsible for integrating all global technological innovation and drug discovery strategies and operations to bring cutting-edge therapies to patients.
Key responsibilities include developing and implementing the company’s scientific strategy, managing the Research budget, mentoring scientific staff, and collaborating with stakeholders to bring innovative products and solutions to the market. The CSO will also play a critical role in evaluating new technologies, partnerships, and investment opportunities.
This role requires a deep understanding of scientific principles, strong leadership skills, and the ability to translate complex research into actionable business strategies. As the CSO, you will work closely with executive leadership, product development teams, and external partners to drive innovation and maintain our position at the forefront of cell therapy. You will be expected to stay abreast of emerging trends and technologies, foster a culture of impactful innovation and scientific excellence, and ensure compliance with regulatory standards.
The ideal candidate should have a strong background in scientific research, preferably with a Ph.D. in a relevant field, and a proven track record of leading successful Research programs and delivering multiple compounds into clinic development. You should be skilled at managing global multidisciplinary teams and representing the company in scientific and regulatory forums.
This is a high-impact role that offers the opportunity to shape the future of our organization through scientific leadership and innovation. If you are an innovative scientist and an accomplished drug hunter and are passionate about science with the strategic vision to lead cutting-edge research, we encourage you to apply.
Key Responsibilities
- Develop disease centric global research strategy and deliver a robust, diversified and risk-balanced pipeline of therapeutics.
- Develop and implement global technology and drug discovery plans that align with the company’s business objectives, advancing the company’s pipeline of cell therapies from technology innovation to Development Candidates.
- Oversee global research programs through key milestones, including technological platform innovation and drug discovery, while efficiently managing resources to meet timelines.
- Manage global research budget and ensure resource allocation aligned with strategic priority and efficient return of investment.
- Drive the identification and evaluation of new technologies, research opportunities, partnerships, collaborations and licensing opportunities via BD to expand the company’s pipeline and market position.
- Attract, retain, and develop top talent within the global research organization, fostering a culture of innovation, collaboration, and scientific excellence.
- Serve as a key member of the executive leadership team, contributing to overall corporate strategy and decision-making.
- Stay abreast of industry trends, regulatory changes, and scientific advancements, ensuring compliance and maintaining the company’s leadership position in cell therapy development.
Requirements
- PhD or equivalent advanced degree in a relevant scientific field (e.g., immunology, oncology, molecular biology).
- Minimum of 15 years of experience in Research leadership roles within the biopharma and biotech industry, with a strong focus on cell therapy or immunotherapy.
- World-class scientific accomplishments demonstrated by a strong record of cutting-edge research publications and patents.
- Proven track record of successfully advancing multiple therapies from research through early clinical development.
- Extensive experience managing large, global, cross-functional teams and growing top talents.
- Deep understanding of the global development and regulatory landscape for cell and gene therapies.
- Strategic thinker with strong business acumen and the ability to align Research activities with overall company goals.
- Exceptional leadership and team-building skills, with a demonstrated ability to inspire and lead high-performing teams.
- Excellent communication, collaboration and interpersonal skills, with the ability to influence and engage a wide range of stakeholders.
- Strong analytic and problem-solving skills, with the ability to navigate complex challenges and drive decision-making in a fast-paced environment.
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The base pay range below is what Legend Biotech USA Inc. reasonably expects to offer at the time of posting. Actual compensation may vary based on experience, skills, qualifications, and geographic location. The company reserves the right to modify this range as needed and in accordance with applicable laws.
Other Types of Pay: Performance-based bonus and/or equity is available to employees in eligible roles.
Benefits and Paid Time Off: Medical, dental, and vision insurance as well as a 401(k) retirement plan with a company match that vests fully on day one. We offer eight (8) weeks of paid parental leave after just three (3) months of employment, and a paid time off policy that includes vacation time, personal time, sick time, floating holidays, and eleven (11) company holidays. Additional voluntary benefits include flexible spending and health savings accounts, life and AD&D insurance, short- and long-term disability coverage, legal assistance, and supplemental plans such as pet, critical illness, accident, and hospital indemnity insurance. We also provide voluntary commuter benefits, family planning and care resources, well-being initiatives, and peer-to-peer recognition programs; demonstrating our ongoing commitment to building a culture where our people feel empowered, supported, and inspired to do their best work.
Please note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech.
EEO Statement
It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances.
Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company.
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Senior Machine Learning Scientist, Climate & Hydrology
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COMPANY DESCRIPTION
Flagship Pioneering is a bioplatform innovation company that invents and builds companies that change the world. We bring together the greatest scientific minds with entrepreneurial company builders and assemble the capital to allow them to take courageous leaps. Those big leaps in human health, sustainability and beyond exponentially accelerate scientific progress in areas ranging from disease detection and treatment and nature-positive agriculture to novel applications of AI that are driving the creation of new technologies.
What sets Flagship apart is our ability to advance science and technology by uniting innovation, company creation, and capital investment under one roof in a way that is largely without precedent. Our scientific founders, entrepreneurial leaders, and professional capital managers are each aligned around an institutionalized process that enables us to innovate and transform for the benefit of people and planet.
Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.
Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies.
THE ROLE
We are seeking a Senior Machine Learning Scientist, Climate and Hydrology to lead the scientific direction and machine learning development for hydrology-aware climate modeling within our broader environmental modeling platform.
This role sits at the intersection of hydrology, weather and climate science, and large-scale machine learning. The Sr. Scientist will help shape how hydrologic process understanding, climate data, and modern ML methods are brought together in next-generation prediction systems, with emphasis on scientifically grounded model development and evaluation.
The individual in this role will work across science, ML, engineering, and data teams to define research priorities, guide model training and benchmarking, build reproducible workflows, and translate scientific insight into scalable model development. This is a cross-functional role requiring strong technical depth, structured scientific thinking, and the ability to move between foundational research and applied execution.
KEY RESPONSIBILITIES
- Lead scientific and technical efforts at the intersection of hydrology, climate science, and machine learning.
- Help define research priorities, modeling directions, and evaluation strategies for next-generation climate and environmental prediction systems.
- Contribute to the development and improvement of ML-based modeling approaches informed by physical and Earth system science.
- Work with large-scale climate, weather, hydrology, and remote sensing datasets to support model development and scientific analysis.
- Build and oversee reproducible workflows for data processing, model training, benchmarking, and validation.
- Collaborate closely with research, engineering, and data teams to translate scientific goals into scalable technical execution.
- Guide assessment of model performance, uncertainty, and scientific robustness across a range of environmental conditions and applications.
- Communicate findings through internal reviews, external collaborations, publications, and technical presentations.
- Help shape the broader scientific roadmap and contribute to team growth and cross-functional leadership.
PROFESSIONAL EXPERIENCE & QUALIFICATIONS
- PhD in machine learning, computational science, Earth science, atmospheric science, hydrology, AI, computer science, or a related quantitative discipline.
- 5+ years of postdoctoral, industry, or applied research experience in climate ML, weather ML, hydrologic modeling, Earth system modeling, or a closely related field.
- Demonstrated experience with ML-accelerated weather, climate, or hydrology models, with a strong publication track record in the area.
- Experience working with large climate datasets, including reanalysis products, remote sensing datasets, observational datasets, and model output.
- Experience with the computational infrastructure required to manage, preprocess, and train on large-scale climate datasets, preferably in the AWS ecosystem.
- Strong programming skills in Python and experience with modern ML frameworks such as PyTorch
- Background in scientific ML, spatiotemporal modeling, data assimilation, hybrid physics-ML methods, or related approaches is strongly preferred.
- Ability to design rigorous evaluation frameworks, performance metrics, and benchmarking approaches for environmental prediction systems.
- Strong technical writing and communication skills, including reports, presentations, and peer-reviewed publications.
- Demonstrated ability to work independently in fast-paced, ambiguous environments while collaborating effectively across disciplines.
- Experience leading cross-functional scientific efforts, mentoring researchers, or helping define research roadmaps is preferred.
LOCATION: Cambridge, MA or Boulder, CO (some travel to Cambridge, MA based headquarters if working from Colorado)
ABOUT FLAGSHIP PIONEERING:
Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.
Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.
At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.
We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship.
Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.
#LI-TL1
The salary ranges for this role are $127,000 - $205,900 (Colorado) and $168,000 - $231,000 (Massachusetts). Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Protocos currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Protoco's good faith estimate as of the date of publication and may be modified in the future.
Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com.
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Senior Scientist, Electrolyte Development
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Location: Mississauga, On-site
Role Type: Full-time (New Opening)
About e-Zinc
e-Zinc is an energy storage venture based in Toronto with a breakthrough technology poised to disrupt the market. As the global energy grid moves to higher levels of penetration of renewable energy, there is a surging need for affordable, flexible, long-duration energy storage. e-Zinc is uniquely positioned to meet this demand as the first company in the world to “metalize” electricity.
Backed by over CAD $80 million in funding from leading global strategic and financial investors - such as Toyota Ventures, Mitsubishi Heavy Industries, Eni, Evok Innovations, and BDC - e-Zinc has garnered international recognition for its proprietary technology and visionary roadmap. Highlights include:
- Named to the Global Cleantech 100 for four consecutive years (2022–2025)
- $1M Grand Prize winner of the Impact Canada Charging the Future Challenge
- Awarded a $1.6M grant from Breakthrough Energy Solutions Canada
- Secured over $12M in funding across three projects from Sustainable Development Technology Canada (SDTC)
- Recipient of a USD $1.3M grant from the California Energy Commission
As e-Zinc moves toward commercialization, e-Zinc is expanding its team to bring our transformative technology to market and support the future of renewable energy.
Opportunity
e-Zinc is searching for an experienced and talented Senior Scientist, Electrolyte Development to work within the Technology function on the development, formation, and characterization of advanced electrolytes for e-Zinc’s technology. You will be a key contributor to driving electrolyte innovation; scaling formulations from lab to production, and collaborating closely with teams across electrode development, product engineering, and manufacturing. This role offers the opportunity to work at the cutting edge of clean energy within a fast-paced, collaborative environment. This position will report directly to the VP, Research & Development.
Position Scope and Responsibilities
- Lead and own the technical deliverables for cross-functional R&D projects focused on the development and characterization of electrolytes from technology readiness levels between 1 and ~4, within a technology development framework
- Identify and characterize mechanisms regarding electrolyte formulation and operation within the e-Zinc battery
- Develop simulations to gain mechanistic insights into battery dynamics, predict performance, and support experimental findings
- Be the subject matter expert on electrolyte chemistry and electrolyte fundamentals
- Propose and develop concepts to address technical issues and meet performance targets based on scientific principles
- Plan and execute experimental work on electrochemical, chemical and physical characterization of electrolytes, including benchtop tests and prototype testing
- Predict and characterize electrolyte behaviour under various conditions using thermodynamics and kinetics of the various mechanisms of operation
- Partner with external collaborators to advance the technology and our understanding of it.
- Work with partners to translate lab-scale formulations to production
- Perform data analysis on test results and communicate results and conclusions in the form of presentations and reports
- Document results and analysis in the form of written technical reports, such as test and analysis reports
- Collaborate across functions to progress the technology and the integration into the product
- Work in cross-functional teams to solve technical issues at various stages of development and support development in areas such as electrodes and advanced cell
- Contribute to e-Zinc’s intellectual property portfolio through the creation of patent applications and trade secrets
- Mentorship of other e-Zinc staff, fostering a high-performing and solution-oriented culture
- Maintain a safe work environment for yourself and others
Qualifications
Required:
- Minimum of a Master’s degree in chemistry, materials science or related field plus 7+ years of industrial work experience in relevant fields.
- Proven experience developing commercially viable battery electrolytes such as zinc or lithium battery electrolytes.
- Expert-level understanding and experience in electrochemistry, reaction kinetics, and thermodynamics.
- Advanced knowledge and experience in simulation software (COMSOL)
- In-depth knowledge of characterization methods for electrolytes and electrodes for electrochemical energy storage devices.
- Strong data analysis skills and ability to interpret complex chemical and electrochemical data.
- Excellent time management, communication, and organizational skills
- A self-starter and adaptive learner. Motivated to strive and succeed in a start-up environment.
- Must be legally eligible to work in Canada.
Additional Assets:
- Experience in aqueous zinc electrochemistry is considered a strong asset.
- A PhD with a focus on electrochemical energy storage or fuel cell systems
At e-Zinc, how we work matters just as much as what we build. The qualities below reflect how our team turns our core values into action every day.
Safety: You prioritize safety in everything you do and understand the deep responsibility we have to our people, our customers, and our planet.
Truth: You are honest, transparent, and authentic—with yourself, your teammates, and our customers.
Results: You approach challenges with curiosity and creativity, troubleshoot thoughtfully, and focus on delivering meaningful outcomes.
Team: You contribute to an open and trusting workplace, empower others, and hold yourself and your teammates accountable.
Mastery: You are committed to building domain expertise, bring a strong work ethic, and continuously invest in your own growth and improvement.
Value: You act responsibly with time, financial resources, and effort, always aiming to create the greatest impact and long-term value.
Why Join e-Zinc?
At e-Zinc, your work has purpose. You’ll be part of a pioneering team building transformative technology that will help shape the future of clean energy. We offer a dynamic work environment, meaningful projects, and the opportunity to grow your career alongside passionate, purpose-driven colleagues.
Note: At e-Zinc, every application is personally reviewed by our People & Talent team to understand your motivation, experience, and alignment with our mission.
Compensation & Total Rewards:
The expected annual salary range for this role is 105,000-125,000. Final compensation will be determined based on the candidate’s skills, experience, and overall fit for the position.
Successful employees will be offered a comprehensive Total Rewards package, which can include:
- Competitive compensation
- Comprehensive Employer-paid benefits
- Retirement savings plans with employer contributions
- Equity grants and opportunity for company ownership.
- Paid vacation time to refresh, plus additional paid time off for special events such as birthdays or religious holidays
Encouragement to Apply
Studies show that individuals in underrepresented groups are less likely to apply for jobs unless they meet every qualification. If you find you are passionate about this role and meet many of the items listed, we encourage you to apply!
e-Zinc is proud to be an equal opportunity employer that celebrates and supports diversity. We thrive in an environment of mutual respect and welcome all applicants.
If you require accommodations at any stage in the hiring process, please contact us at careers@e-zinc.ca
Ready to apply?
Apply to Join the e-Zinc team
Associate Data Scientist - Originations
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At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?
What you’ll do:
- Build, iterate, and launch models to a production environment focused on predicting outcomes in sports.
- Train machine learning models and build statistical modeling frameworks using custom methods, or using xgboost, sklearn, pytorch, etc.
- Manage SQL queries to ensure data pipelines are efficient, accurate, and up to date.
- Rigorously backtest models to ensure highly accurate predictions.
What you have:
- Demonstrable history of projects that are either sports-focused or are related to building novel approaches to machine learning.
- Strong technical or math/statistics background. Computer science, statistics, math, physics, economics, etc.
- Strong coding skills and ability to code without being fully dependent on AI tools - Python, SQL.
- Interest in sports betting, prediction markets, financial markets, or fantasy sports.
- Proven ability to build sophisticated models, not just out of the box templates.
- Deep passion for sports. Not just a casual fan, but someone who deeply knows the ins and outs of a few sports.
What makes you stand out:
- Experience with lower-level programming languages - Rust, Java, C++.
- Demonstrable background/coursework building machine learning algorithms from scratch.
- Success in open-source projects e.g. Big Data Bowl, Kaggle, school research labs.
- Proven and verifiable background building algorithmic origination, modeling, or trading strategies.
- Work experience with a professional sports team.
Where you’ll live:
- While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote
Working at PrizePicks:
The typical salary range for this position is $85,000 to $115,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your
recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.
This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.
Date Posted: 05/08/26
Benefits you’ll receive:
In addition to your great compensation package, full-time employees will be eligible for the following perks:
- Company-subsidized medical, dental, & vision plans
- 401(k) plan with company match
- Annual bonus
- Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
- Generous paid leave programs, including 16-week paid parental leave and disability benefits
- Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
- Company-wide in-person events and team outings
- Lifestyle enhancement program
- Company equipment provided (Windows & Mac options)
- Annual performance reviews with opportunities for growth and career development
You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
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Principal Engineer/Scientist, Electrochemistry Testing & Analysis
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Location: Mississauga (On-Site)
Role Type: Full-time (New Opening)
About e-Zinc
e-Zinc is an energy storage venture based in Toronto with a breakthrough technology poised to disrupt the market. As the global energy grid moves to higher levels of penetration of renewable energy, there is a surging need for affordable, flexible, long-duration energy storage. e-Zinc is uniquely positioned to meet this demand as the first company in the world to “metalize” electricity.
Backed by over CAD $80 million in funding from leading global strategic and financial investors - such as Toyota Ventures, Mitsubishi Heavy Industries, Eni, Evok Innovations, and BDC - e-Zinc has garnered international recognition for its proprietary technology and visionary roadmap. Highlights include:
- Named to the Global Cleantech 100 for four consecutive years (2022–2025)
- $1M Grand Prize winner of the Impact Canada Charging the Future Challenge
- Awarded a $1.6M grant from Breakthrough Energy Solutions Canada
- Secured over $12M in funding across three projects from Sustainable Development Technology Canada (SDTC)
- Recipient of a USD $1.3M grant from the California Energy Commission
As e-Zinc moves toward commercialization, e-Zinc is expanding its team to bring our transformative technology to market and support the future of renewable energy.
Opportunity
e-Zinc is searching for an experienced and talented Principal Engineer, Testing & Analysis to lead the execution, planning, and continuous improvement of battery and system-level testing and analysis across our zinc-air energy storage platform. Reporting to the VP Research & Development, this role will play a critical role in the product development testing and analysis. The ideal candidate brings a strong balance of hands-on testing experience and leadership capability, with a focus on validation and supporting product readiness for deployment and scale. You will work closely with technology (R&D), product engineering and other departments to ensure testing activities align with product goals and commercialization timelines.
Position Scope and Responsibilities
Lab Operations & Ownership
- Own and manage the battery testing lab, including test stations, equipment, and infrastructure.
- Ensure high uptime through preventive maintenance, calibration, and troubleshooting
- Manage inventory of test materials, consumables, and battery samples.
- Enforce and continuously improve lab safety protocols and best practices .
- Ensure high data quality, repeatability, and statistical rigor in all testing activities
Testing Strategy & Execution
- Develop, implement, and continuously improve test methods, procedures, and protocols for cell, pack, and system-level validation & testing.
- Support and lead the execution of various testing plans at all levels of development, ensuring alignment with testing objectives.
- Analyze large and complex data sets to extract actionable insights.
- Support assembly and build activities by ensuring test readiness and validation during prototype and system integration phases
Data, Reporting & Quality
- Oversee data collection, analysis, and reporting, ensuring accuracy, consistency, and traceability
- Establish best practices and standardize data processing, visualization and reporting formats to communicate results clearly to cross-functional teams
- Manage test data systems and tools to enable efficient data retrieval and decision-making
Problem Solving & Continuous Improvement
- Lead structured problem-solving efforts using methodologies such as 8D, root cause analysis, and Six Sigma tools
- Identify system and process issues through testing and drive corrective actions
- Continuously improve testing efficiency, automation, and repeatability
Team Leadership & Development
- Mentor and develop a team of test engineers, technicians, and interns
- Manage workload, scheduling, and prioritization of testing activities
- Build a culture of accountability, collaboration, and hands-on problem solving
- Service as the SME in experimental methods, diagnostics (cell, packs, system) and failure mechanisms.
Cross-Functional Collaboration
- Partner with R&D and product workstreams to align testing with product development and production goals.
- Support transition from engineering validation to manufacturing and deployment
- Provide feedback to design teams based on test results and field learnings to inform design and development decisions.
Qualifications
- Minimum Bachelor’s degree in Electrical, Mechanical, Materials, or Chemical Engineering (or relevant discipline within Engineering or Science).
- 10+ years of experience in battery or electro-mechanical system testing and data analysis, including cell, pack and/or system-level validation.
- Proven experience in lab operations, test execution, and team leadership
- Experience with Factory Acceptance Testing (FAT) and product validation processes
- Strong hands-on experience with test equipment, instrumentation, and troubleshooting
- Proficiency in data acquisition, analysis, and reporting tools (e.g Python, MATLAB)
- Experience with structured problem-solving methodologies (e.g., 8D, Six Sigma)
- Familiarity with high-reliability testing environments (e.g., automotive, medical, industrial)
- Strong understanding of battery safety standards and testing best practices
- Strong communication skills
At e-Zinc, how we work matters just as much as what we build. The qualities below reflect how our team turns our core values into action every day.
Safety: You prioritize safety in everything you do and understand the deep responsibility we have to our people, our customers, and our planet.
Truth: You are honest, transparent, and authentic—with yourself, your teammates, and our customers.
Results: You approach challenges with curiosity and creativity, troubleshoot thoughtfully, and focus on delivering meaningful outcomes.
Team: You contribute to an open and trusting workplace, empower others, and hold yourself and your teammates accountable.
Mastery: You are committed to building domain expertise, bring a strong work ethic, and continuously invest in your own growth and improvement.
Value: You act responsibly with time, financial resources, and effort, always aiming to create the greatest impact and long-term value.
Why Join e-Zinc?
At e-Zinc, your work has purpose. You’ll be part of a pioneering team building transformative technology that will help shape the future of clean energy. We offer a dynamic work environment, meaningful projects, and the opportunity to grow your career alongside passionate, purpose-driven colleagues.
Note: At e-Zinc, every application is personally reviewed by our People & Talent team to understand your motivation, experience, and alignment with our mission.
Compensation & Total Rewards:
The expected annual salary range for this role is $120-140K. Final compensation will be determined based on the candidate’s skills, experience, and overall fit for the position.
Successful employees will be offered a comprehensive Total Rewards package, which can include:
- Competitive compensation
- Comprehensive Employer-paid benefits
- Retirement savings plans with employer contributions
- Equity grants and opportunity for company ownership
- Paid vacation time to refresh, plus additional paid time off for special events such as birthdays or religious holidays
Encouragement to Apply
Studies show that individuals in underrepresented groups are less likely to apply for jobs unless they meet every qualification. If you find you are passionate about this role and meet many of the items listed, we encourage you to apply!
e-Zinc is proud to be an equal opportunity employer that celebrates and supports diversity. We thrive in an environment of mutual respect and welcome all applicants.
If you require accommodations at any stage in the hiring process, please contact us at careers@e-zinc.ca
Ready to apply?
Apply to Join the e-Zinc team
AI Scientist
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Come Work With Us:
Metropolitan Commercial Bank (“MCB” or the “Bank”) is a New York City–based, full-service commercial bank providing tailored banking solutions to businesses, institutions, and individuals. Founded in 1999, MCB operates banking centers in Manhattan and Boro Park, Brooklyn, within New York City, as well as in Great Neck on Long Island, New York, and Lakewood, New Jersey. The Bank recently expanded to Miami, Florida with their newest Brickell banking center.
Metropolitan Commercial Bank offers a comprehensive suite of commercial, business, and personal banking products and services to small businesses, middle-market and corporate enterprises, private and public institutions, municipalities, and local government entities.
The Bank has earned national recognition for its financial performance, innovation, and strategic growth. The Bank was named one of Newsweek’s Best Regional Banks in 2024 and 2025. Additionally, MCB recently received Editor’s Choice recognition at the Banking Tech Awards USA for Digital Onboarding & Omnichannel Banking and in 2026, the Bank earned Great Place To Work certification and received the Web Award Standard of Excellence for MCBankNY.com.
We are a client-focused organization that values technological innovation and excellence. A strong technical mindset, AI fluency, and adaptive skills are essential for our employees to effectively contribute to our mission and drive our success. We foster human–AI teaming and strong governance to ensure technology is used responsibly and in alignment with Bank policies and procedures. For more information about the Bank, please visit the Bank’s website at MCBankNY.com.
Position Summary:
Metropolitan Commercial Bank is seeking a VP-level Applied AI & Machine Learning Scientist to design, build, and validate production-grade AI/ML and Generative AI solutions in a highly regulated banking environment. This role focuses on high-impact use cases—fraud detection, AML alert optimization, AI-assisted credit memo generation for underwriting decision support, contact center AI assistant/copilots, and personalization for treasury/commercial clients—delivered with rigorous governance, explainability, fairness testing, privacy-by-design, cybersecurity, and model lifecycle controls aligned to SR 11-7 and MCB’s Trustworthy & Responsible AI Principles. The role emphasizes Snowflake as the primary ML platform (e.g., Snowpark Python, UDFs/UDTFs, Tasks/Streams, and Snowflake-native ML).
Standard 4-day in-office requirement, 1 day remote (of your choosing)
Essential Functions & Responsibilities
Applied AI/ML development:
- Design and implement models for fraud detection, AML alert scoring/triage, AI-generated credit memo drafting and underwriting decision support, contact center AI assistants, and personalization for commercial/treasury use cases.
- Leverage modern methods: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings and vector databases, transformers, boosting, anomaly/outlier detection, and classical ML.
- Embed explainability (e.g., SHAP, interpretable scorecards/monotonic models) and conduct pre-/post-deployment bias testing with documented remediation.
Model validation, documentation & governance (SR 11‑7):
- Produce audit-ready documentation (methodology, assumptions, data lineage, limitations, testing) and register models in the inventory with owners/materiality.
- Facilitate independent validation/effective challenge; obtain required approvals before deployment; maintain change management and periodic review cadence.
- Define monitoring, drift thresholds, retraining triggers, and safe rollback/kill-switch procedures; maintain human-in-the-loop checkpoints for high-impact decisions.
Productionization & MLOps on Snowflake
- Package, deploy, and operate models via CI/CD, containerization, and model registry; instrument KPIs/KRIs and alerting dashboards. Operate models natively on Snowflake using Snowpark Python, UDFs/UDTFs, Tasks/Streams, and secure external access where required.
- Partner with Engineering to integrate models via secure APIs/batch; ensure scalability, resiliency, and observability in cloud/on‑prem (e.g., Snowflake, Azure ML, Databricks).
Regulatory, privacy, and cybersecurity alignment:
- Design for ECOA/Reg B (adverse action specificity), UDAAP, FCRA, GLBA privacy, and NYDFS 23 NYCRR 500 cybersecurity requirements.
- Apply privacy-by-design (data minimization, purpose limitation, retention), strong access controls/segregation, and secure SDLC/red teaming for GenAI stacks.
Third‑party AI & data stewardship:
- Support due diligence, testing, and ongoing monitoring of vendor AI/data providers per SR 23‑4; evaluate conceptual soundness, fairness, and security.
- Negotiate/verify contractual controls (no vendor training on MCB/NPI, subprocessors disclosure, audit rights, exit/portability).
- Ensure AEDT compliance (NYC Local Law 144) for any HR-related AI tools.
Cross‑functional partnership:
- Collaborate with Model Risk, Compliance/Legal, Cyber/IT, Data Privacy, Internal Audit, and business owners to meet objectives while staying within risk appetite.
- Communicate complex results, risks, and limitations clearly to technical and non‑technical stakeholders (management committees, examiners).
Innovation, coaching, and best practices:
- Evaluate emerging ML/GenAI methods, LLM evaluation techniques, Snowflake‑native capabilities (e.g., vector search, orchestration), and governance tooling; lead POCs within established control gates.
- Mentor junior staff; promote responsible AI practices, documentation standards, and reproducibility.
Qualifications & Skills:
- 6+ years of relevant work experience.
- Expertise in Python (pandas, scikit‑learn), deep learning (PyTorch/TensorFlow), NLP/LLMs, LangChain, embeddings/vector search, and classic ML.
- MLOps proficiency with CI/CD, containerization (Docker), registries, and observability; cloud ML (Snowflakes-native ML, Azure ML or Databricks preferred).
- Snowflake‑native ML proficiency: Snowpark Python, UDFs/UDTFs, Tasks/Streams; ability to build and operate ML workflows inside Snowflake.
- Data engineering competency (SQL, ETL/pipelines, Spark/PySpark); ability to work with structured/unstructured data.
- Explainability (e.g., SHAP) and fairness testing; ability to produce interpretable reason codes for ECOA/Reg B adverse actions as applicable.
- Strong grasp of SR 11‑7 lifecycle, model documentation, and operational monitoring within three lines of defense governance.
- Excellent communication; ability to translate technical detail to business/risk stakeholders and drive decisions.
- Curiosity and problem‑solving mindset; ability to balance innovation with disciplined risk management.
Preferred Qualifications & Skills
- Master’s or PhD in a relevant field (Computer Science, Machine Learning, Data Science, Statistics, etc.) is strongly preferred, especially with research or thesis work related to AI/ML, NLP, or model interpretability.
- Financial services domain experience (fraud risk, AML, underwriting, or commercial/treasury analytics).
- Hands-on with Snowflake ML/Snowpark (Python), Tasks/Streams, secure external functions; experience with feature management/registry tooling a plus. model registry and pipeline orchestration; Kubernetes a plus.
- RAG architectures, vector databases, prompt engineering, and LLM evaluation (accuracy, hallucination, safety).
- Fairness toolkits and XAI frameworks; experience preparing models for validation, audit, or regulatory exam discussions.
- Familiarity with SR 23‑4 (third‑party risk), NYC Local Law 144 (AEDT), NYDFS Part 500 (cyber).
- Ability to work in a constantly evolving environment
- Must have excellent written and verbal communication skills
- Must be a good listener and good teacher
- Demonstrate analytical, troubleshooting and problem-solving skills
- The ability to learn new technologies quickly
- Self-directed individual with technology and communication skills.
- Ability to take in multiple sources of information with an understanding of the bigger picture need, want, and operation of the Bank.
- Collaborative team-player who can find creative and practical solutions in a dynamic work environment.
- Ability to handle ambiguity, juggle multiple matters at once, and quickly and seamlessly shift from one situation or task to another.
Potential Salary: $130,000 - $200,000 annually
This salary range reflects base wages and does not include benefits, bonus, or incentive pay. Salary bands are purposefully wide ranging to encompass the different factors considered in determining where a candidate falls in the range, including but not limited to, seniority, performance, experience, education, and any other legitimate, non-discriminatory factor permitted by law. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed here.
Metropolitan Commercial Bank provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
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Apply to Metropolitan Commercial BankResearch Scientist, Frontier Risk Evaluations
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Scale Labs, Research Scientist — Frontier Risk Evaluations
As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities.
Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision.
As a Research Scientist focused on Frontier Risk Evaluations, you will design and create evaluation measures, harnesses and datasets for measuring the risks posed by frontier AI systems. For example, you might do any or all of the following:
- Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities;
- Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems;
- Publish evaluation methodologies and write technical reports for policymakers.
Ideally you’d have:
- Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance.
- Practical experience conducting technical research collaboratively. You should be comfortable building and instrumenting ML pipelines, writing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes.
- A track record of published research in machine learning, particularly in generative AI.
- At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development.
- Strong written and verbal communication skills to operate in a cross-functional team.
Nice to have:
- Experience in crafting evaluations and benchmarks, or a background in data science roles related to LLM technologies.
- Experience with red-teaming or adversarial testing of AI systems.
- Familiarity with AI safety policy frameworks (e.g., NIST AI RMF, EU AI Act, Korea AI Basic Act).
Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. If you’re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn’t perfectly align with every requirement.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Apply to Scale AIManager, Machine Learning Research Scientist, GenAI
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Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications.
As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You’ll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed.
As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You’ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.
You will:
- Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments).
- Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution.
- Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes.
- Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally.
- Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent.
- Stay deeply connected to the research community, understanding major trends, and helping set them.
- Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.
Ideally you'd have:
- 5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains.
- A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.).
- Experience and track of recording in landing major research impacts in a fast-paced environment
- Experience leading or managing research teams. You’re excited to mentor, coach and develop talent.
- Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Apply to Scale AIMachine Learning Research Scientist, Reasoning
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About Scale
At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations.
About This Role
This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale’s data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions.
Ideally, you’d have:
-
Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes.
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A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.).
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At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning.
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Strong written and verbal communication skills, along with the ability to work effectively across teams.
Nice to have:
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Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX.
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Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents.
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Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar.
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Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH.
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Proficiency in cloud-based ML development, with experience in AWS or GCP environments.
Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Apply to Scale AIStaff Machine Learning Research Scientist, LLM Evals
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As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities.
Our Research teams work with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. As a Staff Machine Learning Research Scientist on the LLM Evals team, you will lead the development of novel evaluation methodologies, metrics, and benchmarks to measure the capabilities and limitations of frontier LLMs. You will help define what "good" looks like in generative AI, driving research that informs both our internal roadmap and the broader research community. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs.
You will:
- Drive research on the effectiveness and limitations of existing LLM evaluation techniques.
- Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness.
- Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.
- Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols.
- Implement scalable and reproducible evaluation pipelines using modern ML frameworks.
- Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives.
- Mentor and guide research scientists and engineers, providing technical leadership across cross-functional projects.
- Stay deeply engaged with the ML research community, tracking emerging work and contributing to the advancement of LLM evaluation science.
- Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.
Ideally you'd have:
- 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development
- Experience and track of recording in landing major research impacts in a fast-paced environment
- Experience tech leading a team of research scientists and research engineers
- Excellent written and verbal communication skills
- Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
- Previous experience in a customer facing role.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Apply to Scale AIResearch Scientist, Agent Robustness
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Scale Labs, Research Scientist — Agent Robustness
As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities.
Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision.
As a Research Scientist working on Agent Robustness you will work on the fundamental challenges of building AI agents that are safe and aligned with humans. For example, you might:
- Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;
- Design and build harnesses to test AI agents’ tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;
- Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;
- Characterize and design mitigations for potential failure modes or broader risks of systems involving multiple interacting AI agents.
Ideally you’d have:
- Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance.
- Practical experience conducting technical research collaboratively. You should be comfortable building and leveraging agent scaffolding, designing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes.
- Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches.
- A track record of published research in machine learning, particularly in generative AI.
- At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development.
- Strong written and verbal communication skills to operate in a cross-functional team.
Nice to have:
- Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools.
- Experience with red-teaming, prompt injection, or adversarial testing of AI systems.
Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. If you’re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn’t perfectly align with every requirement.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Apply to Scale AIMachine Learning Research Scientist, Post-Training
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Scale works with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities.
In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models.
You will:
- Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities.
- Design and experiment new approaches to preference optimization.
- Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness.
- Publish research findings in top-tier AI conferences.
Ideally you’d have:
- Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.
- Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning.
- Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning.
- Excellent written and verbal communication skills
- Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
- Previous experience in a customer facing role.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Apply to Scale AIMachine Learning Fellow - Human Frontier Collective (US)
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PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the United States; visa sponsorship is not available for this role.
About the Program
The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.
What You'll Do
- ML Projects: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Help models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimization, scaling, and trade-offs.
- HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
- Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark).
Who Should Apply
- Education: PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field.
- Professional Background: 1-3+ years of experience as a Machine Learning Engineer or Data Scientist.
- Skills: Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow). Experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain) is a plus.
- Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.
Why Join the HFC?
- Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research, while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology.
- Join a Top-Tier Network: Collaborate with a global network of engineers and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
- Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
- Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.
Application Process
- Apply: We review applications on a rolling basis.
- Interview: Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI.
- Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AITech Lead/Manager, Machine Learning Research Scientist- LLM Evals
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As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities.
Our Research teams work with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs.
You will:
- Lead a team of highly effective research scientists and research engineers on LLM evals.
- Conduct research on the effectiveness and limitations of existing LLM evaluation techniques.
- Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness.
- Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.
- Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols.
- Implement scalable and reproducible evaluation pipelines using modern ML frameworks.
- Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives.
- Remain up-to-date on ongoing research in the team, help work through technical challenges, and be involved in design decisions
- Remain deeply involved in the research community, both understanding trends, and setting them
- Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.
Ideally you'd have:
- 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development
- Experience and track of recording in landing major research impacts in a fast-paced environment
- Experience supporting and leading a team of research scientists and research engineers
- Excellent written and verbal communication skills
- Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
- Previous experience in a customer facing role.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIMachine Learning Fellow - Human Frontier Collective (UK)
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PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the country they reside in.
About the Program
The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.
What You'll Do
- ML Projects: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Help models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimization, scaling, and trade-offs.
- HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
- Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark).
Who Should Apply
- Education: PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field.
- Professional Background: 1-3+ years of experience as a Machine Learning Engineer or Data Scientist.
- Skills: Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow). Experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain) is a plus.
- Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.
Why Join the HFC?
- Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research, while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology.
- Join a Top-Tier Network: Collaborate with a global network of engineers and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
- Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
- Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.
Application Process
- Apply: We review applications on a rolling basis.
- Interview: Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI.
- Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AISenior / Staff Machine Learning Research Scientist, Agents
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About Scale
At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.
About the ACE team
The Agent Capabilities & Environments (ACE) team, part of Scale’s Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more.
About This Role
This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions.
Ideally you’d have:
- Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes.
- A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.)
- At least three years of experience addressing sophisticated ML problems, either in a research setting or product development.
- Strong written and verbal communication skills and the ability to operate cross-functionally.
Nice to have:
- Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax.
- Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents.
- Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc.
- Familiarity with agentic reasoning methods such as STaR and PLANSEARCH
- Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment.
Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIResearch Scientist, AI Controls and Monitoring
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Scale Labs, Research Scientist — AI Controls and Monitoring
As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities.
Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision.
As a Research Scientist focused on AI Controls and Monitoring, you will design methods, systems, and experiments to ensure that advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments. For example, you might:
- Develop monitoring techniques and observability methods that track AI behavior in real time to identify and flag deviations, emergent capabilities, or anomalous outputs;
- Research mechanisms for layered control, including fail-safes, oversight protocols, and intervention methods that can halt or redirect AI systems when risks are detected;
- Design red-team simulations to probe weaknesses in oversight and control mechanisms, and build mitigations to close identified gaps;
- Collaborate with policymakers, engineers, and other researchers to establish standards and benchmarks for AI monitoring and escalation.
Ideally you’d have:
- Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance.
- Practical experience conducting technical research collaboratively. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and quickly turning new ideas from the research literature into working prototypes.
- A track record of published research in machine learning, particularly in generative AI.
- At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development.
- Strong written and verbal communication skills to operate in a cross-functional team.
Nice to have:
- Experience with runtime monitoring, anomaly detection, or observability for ML systems.
- Familiarity with AI control or alignment research (e.g., scalable oversight, interpretability, debate).
- Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches.
Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. If you’re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn’t perfectly align with every requirement.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIMachine Learning Fellow - Human Frontier Collective (Canada)
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PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in Canada.
About the Program
The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.
What You'll Do
- ML Projects: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Help models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimization, scaling, and trade-offs.
- HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
- Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark).
Who Should Apply
- Education: PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field.
- Professional Background: 1-3+ years of experience as a Machine Learning Engineer or Data Scientist.
- Skills: Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow). Experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain) is a plus.
- Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.
Why Join the HFC?
- Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research, while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology.
- Join a Top-Tier Network: Collaborate with a global network of engineers and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
- Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
- Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.
Application Process
- Apply: We review applications on a rolling basis.
- Interview: Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI.
- Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIAbout Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for a Principal Machine Learning Engineer to join our ML/AI team. This is a hybrid role based in San Jose, CA, reporting to the VP, AI and ML within the Engineering department.
You will drive innovation within our growing ML/AI team, focusing on critical cybersecurity use cases like agentic frameworks, threat detection, and anomaly detection. Your work will enable organizations worldwide to harness speed and agility through a cloud-first strategy while solving complex security challenges at scale.
What you’ll do (Role Expectations)
-
Lead the design and development of cutting edge, production ready AI/ML systems and pipelines, cybersecurity applications and provide technical guidance to junior and mid-level engineers
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Optimize existing machine learning pipelines for improved efficiency and scalability
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Explore and experiment with advanced AI techniques and architectures to solve complex cybersecurity problems while staying updated on the latest advancements in AI
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Collaborate with cross-functional teams to define project requirements and ensure alignment with business objectives
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Ensure systems and applications meet reliability, scalability and performance requirements
Who You Are (Success Profile)
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You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
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You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
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You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
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You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
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You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What We’re Looking for (Minimum Qualifications)
-
Bachelor's degree in Computer Science, or a related technical field
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10+ years of experience as a Machine Learning Engineer or Scientist, with a proven track record of delivering successful projects in cybersecurity
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Strong proficiency in Algorithms, Game Theory and Optimization, Verification, and ML libraries and frameworks
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Extensive experience in data modeling, feature engineering, model development, and error analysis
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Excellent communication skills with the ability to translate complex technical concepts to stakeholders and peers
What Will Make You Stand Out (Preferred Qualifications)
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Proven track record of designing, building and shipping end-end applications at scale, with familiarity with multi-agent systems and orchestration frameworks
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Deep expertise with cloud infrastructure such as AWS or GCP for AI workloads
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Strong experience with agent architectures and SOTA AI frameworks, along with contributions to open-source ML projects or top-tier research publications
#LI-JM1 #LI-Hybrid
Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
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Staff Machine Learning Research Scientist
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SmarterDx, a Smarter Technologies company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers.
As a Staff Machine Learning Research Scientist at SmarterDx, you will set technical direction for cutting-edge ML research and translate it into real-world clinical impact. You’ll work at the intersection of research, engineering, and healthcare, partnering with engineers and clinicians to build systems that deeply understand patient records and improve hospital outcomes. This is a senior, high-impact role where you’ll not only execute on ambitious ideas but also shape the team’s research agenda and standards.
You will be expected to operate with a high degree of autonomy—identifying promising research directions, critically evaluating academic work, and ensuring that what gets built is both scientifically sound and practically useful. Your work will directly influence how we evaluate models, detect hallucinations, and build high-quality datasets, ultimately improving the reliability of AI in healthcare.
**This role is fully remote within the US**
What You’ll Do
- Lead end-to-end ML research, from idea generation to production deployment and monitoring
- Design, implement, and evaluate novel methods for LLM alignment on proprietary clinical data
- Develop and rigorously evaluate approaches for hallucination detection, attribution, and model reliability
- Build and curate high-quality datasets, with a strong emphasis on evaluation design and benchmark integrity
- Critically assess academic literature to identify strong vs weak methods, and translate the best ideas into practice
- Establish best practices for experimental design, including statistically sound evaluation and reproducibility
- Collaborate cross-functionally with engineering to productionize models (MLOps, infra, deployment)
- Develop methods for long-context and multimodal modeling (structured + unstructured clinical data)
- Mentor other researchers and help raise the bar for research quality across the team
- Contribute to external presence through papers, talks, and recruiting
What You Bring
- Strong track record of ML research, ideally with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI, etc.)
- Proven ability to distinguish high-quality vs low-quality research, especially in fast-moving areas like LLMs
- Deep understanding of LLM failure modes, particularly hallucinations, and how to evaluate and mitigate them
- Experience designing rigorous evaluation frameworks and building high-quality test datasets
- Strong intuition for dataset quality, bias, and benchmark design (data-centric AI mindset)
- Hands-on experience training large-scale deep learning models (multi-GPU / distributed systems)
- Deep understanding of modern neural architectures (transformers, SSMs, encoder/decoder models, etc.)
- Strong programming skills in Python and ML frameworks such as PyTorch or JAX
- Experience deploying ML models into production systems and monitoring their performance
- Clear and proactive communicator, able to explain complex ideas and critique work effectively
Nice To Haves
- Experience with inference optimization techniques (e.g., vLLM, KV caching, speculative decoding)
- Familiarity with MLSys concepts (parallelism strategies, distributed training infrastructure)
- Experience working with clinical or healthcare data
- Background in retrieval systems, graph-based learning, or multimodal modeling
Our Tech Stack
- PyTorch, Hugging Face Transformers, Python
- AWS (MWAA), Kubernetes, SLURM
- DeepSpeed, TorchTune
- Snowflake, Airflow, GitHub
Compensation
$220k-260k base salary
#LI-Remote
Benefits
- Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan.
- Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents.
- Remote-First Team – Work from anywhere in the U.S.
- Unlimited PTO & 10 Holidays – So you can relax and recharge.
- 401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Fidelity with a 4% match.
- Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters.
- Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues.
Ready to apply?
Apply to SmarterDx