Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell® Fusion, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day.

CMT is looking for a creative, collaborative, and highly motivated Machine Learning Intern to help develop applied machine learning capabilities using real-world mobility and behavioral data. This internship is ideal for someone who enjoys solving ambiguous problems, building practical ML workflows, working with messy real-world datasets, and translating technical findings into clear recommendations.

The intern will work on a 12-week applied ML project involving data exploration, labeling strategy, feature engineering, model development, evaluation, and stakeholder-facing analysis. The ideal candidate has strong Python skills, a solid foundation in machine learning, strong initiative, and the ability to make progress in open-ended problem spaces.

Responsibilities:

• Explore real-world mobility datasets and identify useful behavioral, temporal, contextual, and aggregate patterns
• Help define practical data labeling guidelines, quality criteria, and edge-case handling rules
• Build and validate datasets for supervised machine learning experiments
• Develop baseline and improved ML models using Python and standard data science workflows
• Perform feature engineering, model evaluation, error analysis, and iteration
• Assess model performance across relevant data segments and edge cases
• Summarize findings, limitations, risks, and opportunities for technical and product stakeholders
• Produce clear documentation, analysis reports, and final recommendations

Qualifications:

• Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Data Science, Machine Learning, Statistics, Engineering, Applied Math, or a related quantitative field
• Strong Python programming skills and comfort working with real-world datasets
• Solid understanding of supervised machine learning, feature engineering, classification metrics, train/test splits, and error analysis
• Experience with common Python data science libraries such as pandas, NumPy, scikit-learn, PyTorch, TensorFlow, or similar tools
• Strong analytical and problem-solving skills, with a bias toward initiative and ownership
• Clear written and verbal communication skills, including the ability to explain technical findings to non-technical stakeholders

Compensation and Benefits:

• Fair and competitive hourly rate based on education level
• Flexible scheduling options depending on role and responsibilities

Additional Perks:

• Feel great working to improve road safety around the world!
• Join one of our many employee resource groups including Black, AAPI, LGBTQIA+, Women, Book Club and Health & Wellness
• CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all!

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

What You Will Contribute To Altos

An exciting opportunity is available for a Scientist II to join the Larrieu group at Altos Labs, Cambridge Institute of Science (Cambridge, UK). At Altos, the Larrieu lab is exploring both fundamental questions and translational opportunities. We are seeking a very highly motivated, versatile, creative, and collaborative individual, who is passionate and dedicated about employing their expertise to unravel the deep biology of cell health and resilience. This includes the elucidation of the mechanism of action of specific interventions that can reverse, halt or mitigate the effects of ageing on cell health. 

Responsibilities

• Elucidate processes that contribute to the age-related erosion of cell/tissue resilience.
• Engage in ground-breaking and innovative science and in Altos scientific activities.
• Develop project-specific experimental strategies, techniques, and procedures including new assays and pipelines to support translational projects.
• Lead, design and execute in vitro and in vivo experiments for identification and validation of targets with therapeutic potential
• Develop and implement biochemical and cellular assays to support screening and characterization of potential candidate therapies
• Collaborate widely across Altos to multiply efforts, gain insight into the centrality of the nuclear envelope in ageing and identify potential new therapeutic avenues          
• Collaborate with multidisciplinary teams including chemists, pharmacologists, and bioinformaticians to advance drug discovery projects.
• Present data to a variety of audiences including senior executives through entry-level employees.

Who You Are

Minimum Qualifications

• PhD in life sciences with 3-5 years of relevant postdoc/industry experience
• Extensive experience in mammalian cell culture (including primary cells).
• Strong background in molecular and cell biology with experience in assay development and validation, to support pre-clinical studies.
• Experience in small rodent handling, with an ability to independently design and coordinate the execution of complex in vivo studies, including drug administration, tissue harvest and processing.
• Strong sense of collective ownership of projects within the group and Altos.
• Critical, visionary, and creative thinking with an ability to formulate scientific questions, design strategies, and implement plans effectively.
• Strong organizational skills to manage multiple tasks simultaneously, prioritize workloads, and meet deadlines.
• High level of rigor and precision in experimental procedures, data recording, and documentation.
• Problem-solving skills to identify potential issues, test, and develop innovative solutions.
• Excellent writing and communication skills
• Ability to maintain cooperative working relationships with a broad range of people, including staff colleagues, lab members and the community

Preferred Qualifications 

• Understanding of in vivo delivery systems such as AAV, LNP, lentivirus etc.
• Biochemistry skills, including biochemical and enzymatic assay development
• Some proficiency in R and Python to support data analysis
• Prior industry experience

The salary range for Cambridge, UK:

• Scientist II, Biological Sciences: £61,400 - £80,800

Exact compensation may vary based on skills, experience, and location.

#LI-NN1

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

Warning: Fraudulent Job Adverts Beware of fraudulent activities claiming to represent Insurify. We are not associated with any entities soliciting personal information or payment. The safety of our job seekers is a top priority, and we actively work to prevent such incidents. Insurify will never request sensitive information or payment during the hiring process. Be cautious of text-only interviews, interviews conducted through Microsoft Teams, or suspicious offer letters. 

Why us? 

Insurify is one of America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design.

Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.

Join us if you like

• $1.3 Trillion market opportunity
• MIT alumni founders
• Female-led startup
• $130M total funding
• Strong leadership team with experience from many successful startups around the world

We’re looking for a Senior Marketing Analyst to manage and scale Insurify’s paid social program, driving measurable performance, and incremental growth.

This role sits at the intersection of Brand and Performance Marketing, and Analytics, owning the day-to-day execution, measurement, and optimization of Insurify’s paid social channels. You’ll serve as the internal subject matter expert for paid social, ensuring campaigns are thoughtfully executed, rigorously measured, and continuously improved through data-driven insights.

You’ll play a critical role in translating complex data into clear recommendations, connecting performance to business outcomes, and expanding Insurify’s impact across social channels.

This is a hybrid position that requires candidates to be able to come into our Cambridge, MA office.

How you will make an impact

• Analytics & Insights: Analyze business and campaign-level data to uncover meaningful insights, diagnose performance trends, and recommend strategic initiatives that improve customer engagement and drive incremental value
• Measurement & Reporting: Own and maintain core performance dashboards, conducting deep-dive analyses to interpret inconsistent trends, identify anomalies, and synthesize findings into actionable recommendations
• Paid Social Execution & Ownership: Plan, launch, and manage paid social campaigns across key platforms, ensuring accurate tracking, strong execution, and ongoing optimization
• Performance Monitoring & Optimization: Monitor daily campaign performance, audience targeting, and quality signals to ensure campaigns are meeting performance and operational standards
• Channel Expansion & Testing: Identify, explore, and lead testing across new and emerging mid-funnel social and digital channels to expand reach and improve efficiency
• Subject Matter Expertise & Collaboration: Act as the internal SME for paid social platforms, partnering closely with cross-functional teams to drive continuous improvement

Who you are

• 3-5 years of professional experience in marketing analytics, performance marketing, or a related role, with hands-on exposure to paid social advertising
• Strong analytical skill set with experience translating data into insights that influence marketing and business decisions
• Proficient in Meta Ads Manager and Google Analytics, with a solid understanding of campaign setup, tracking, and optimization
• Advanced SQL skills and proficiency in Python or R for statistical analysis, experimentation, and modeling
• Experience building and maintaining dashboards and working with data visualization tools to communicate performance clearly
• Detail-oriented, curious, and comfortable working cross-functionally in a fast-paced environment

Benefits

• Competitive compensation
• Generous stock options
• Health, Dental Coverages
• 401K plan with match
• Unlimited PTO
• Generous company holiday calendar
• Learning & Development Stipends
• Paid Family Leave
• Social impact volunteer time 
• Catered lunches in the office

Insurify is committed to offering a fair, competitive, and transparent compensation program that supports our mission to attract, retain, and motivate top talent. Our compensation philosophy is guided by several factors including a candidate’s relevant experience, education/training, job-related skills, and location.

In addition to the base salary our total compensation package includes health coverage, retirement contributions, and additional wellbeing benefits. Some positions may be eligible for company equity.

Below is the base compensation range for US locations:

$110,000-$130,000

Position Overview

We are seeking a detail-oriented Director, Compliance to join Iterative Health's growing team in New York, NY or Cambridge, MA. This role will be instrumental in leading the strategic development of compliance programs to ensure our clinical trial optimization solutions meet all regulatory requirements across healthcare, clinical trials, and data privacy domains. The ideal candidate will have deep expertise in healthcare compliance frameworks and the ability to operationalize complex regulatory requirements in a fast-paced health tech environment.

Key Responsibilities

Regulatory Compliance & Risk Management

• Experienced with the compliance aspects of clinical trial & clinical research
• Maintain comprehensive compliance with GDPR, HIPAA, and other applicable data privacy regulations
• Lead SOC 2 Type II audit preparation and ongoing compliance, including controls documentation and evidence collection
• Develop and implement compliance policies and procedures specific to clinical trial technologies and healthcare AI solutions
• Ensure adherence to Anti-Kickback Statute, Stark Law, and PhRMA Code requirements in all business relationships
• Monitor evolving AI regulations and their impact on clinical trial optimization platforms

Quality Management & Documentation

• Oversee Quality Management System (QMS) in partnership with other team members, for maintenance and contractual compliance 
• Establish and maintain comprehensive record retention policies across clinical, regulatory, and business functions
• Manage document control processes for clinical protocols, compliance documentation, and regulatory correspondence
• Coordinate with clinical operations team to ensure GCP compliance in trial management and data collection

Contract & Vendor Compliance

• Review and negotiate compliance terms in customer agreements, vendor contracts, and clinical trial agreements
• Conduct vendor risk assessments and ongoing compliance monitoring for third-party service providers
• Ensure contract compliance with healthcare customer requirements, including BAAs and data processing agreements
• Support commercial team with compliance aspects of customer onboarding and due diligence processes

Training & Cross-Functional Support

• Develop and deliver compliance training programs for employees across all functions
• Serve as primary compliance liaison with external auditors, regulators, and certification bodies
• Collaborate with legal, clinical, and product teams on regulatory strategy and risk mitigation
• Maintain compliance calendar and ensure timely completion of regulatory filings and renewals

Required Qualifications

Education & Experience

• Bachelor’s degree in Life Sciences, Business, or a related field plus 8+ years of compliance experience in healthcare, biotech, or clinical research organizations; advanced degree preferred
• OR Juris Doctor (JD) or other advanced degree plus 5+ years of compliance experience in healthcare, biotech, or clinical research organizations
• Direct experience with clinical trial regulations and GCP requirements
• Proven track record managing compliance programs in regulated industries

Technical Expertise

• Employment law and HR compliance expertise, including workplace privacy, salary transparency, employee data protection, and regulatory training requirements
• Corporate governance and general business compliance including anti-corruption, export controls, and corporate record-keeping requirements
• Privacy program management across all business functions, including vendor privacy assessments and cross-border data transfer compliance
• Financial compliance awareness including regulatory reporting requirements
• Deep knowledge of GDPR and HIPAA requirements and implementation
• Hands-on experience with SOC 2 audits and information security compliance frameworks
• Familiarity with clinical research regulations (GCP, ICH guidelines, 21 CFR Part 11)
• Understanding of AI/ML regulatory landscape in healthcare and clinical trials

Core Competencies

• Strong analytical and problem-solving skills with ability to translate complex regulations into actionable policies
• Excellent written and verbal communication skills for regulatory correspondence and training delivery
• Project management experience with ability to manage multiple compliance initiatives simultaneously
• Detail-oriented approach with strong documentation and process improvement capabilities

Preferred Qualifications

• Professional certifications (CIPP, CISA, CCEP, CHRC, or similar compliance credentials)
• Experience with international regulations (EU Clinical Trials Regulation, other global markets)
• Background in clinical research or pharmaceutical compliance
• Familiarity with AI ethics and algorithmic bias considerations in healthcare
• Experience with healthcare technology or SaaS compliance programs

COMPANY DESCRIPTION

Mirai Bio is a Flagship-backed, privately held biotechnology company on a mission to transform the current approach to information molecule therapeutics to unlock their full therapeutic potential. In recent years, we have begun to experience the power of information molecules in treating historically undruggable diseases and in designing therapies with unprecedented turnaround times. Mirai’s platform integrates nanoparticle development with world-class informatics technologies and a novel pipeline of experimentation and discovery to drive a new generation of highly effective, therapeutically relevant information molecule therapies. We are seeking collaborative, relentless problem solvers that share our passion for impact to join us!

THE ROLE

We are seeking a Senior Director / Vice President of Scientific Strategy & Research Enablement to help architect and scale the research engine that powers this platform. Reporting to the SVP/Head of Platform, this role will operate at the intersection of scientific strategy, platform development, and execution, ensuring that our research organization has the infrastructure, partnerships, and operational frameworks necessary to move rapidly from invention to discovery.

This individual will play a key role in shaping how our science is executed—designing the systems, workflows, and external collaborations that enable scientists to focus on innovation while accelerating the generation of high-quality data and platform insights.

The ideal candidate will combine a strong understanding of modern research environments with the ability to build scalable systems that increase scientific productivity and translate platform capabilities into impactful programs.  This is an individual contributor role that is part of extended Executive Leadership team, and with opportunities for growth.

KEY RESPONSIBILITIES

Scientific Strategy and Research Enablement

• Partner closely with the SVP/Head of Platform and scientific leaders to translate research strategy into an integrated framework for execution across internal teams and external collaborators.
• Design and implement the infrastructure that supports discovery, including research workflows, collaboration frameworks, and data systems that enable efficient experimentation and decision-making.
• Identify opportunities to increase research velocity and rigor by optimizing experimental pipelines, data generation, and knowledge flow across the organization.
• Lead initiatives that remove barriers to scientific progress and improve how the organization generates, integrates, and interprets experimental data.
• Help ensure the organization’s scientific output is communicated clearly and effectively to internal and external stakeholders.
• Collaborate with research, finance, and leadership teams to align resources with the highest-impact scientific opportunities.
• Establish mechanisms for tracking research progress, milestones, and data generation across internal and partnered programs.
• Contribute to building a culture of scientific rigor, transparency, and operational excellence within the research organization.

Platform Development and External Scientific Partnerships

• Develop and manage a network of external collaborators and technology providers that extend the capabilities of the platform.
• Continuously evaluate emerging technologies, experimental capabilities, and vendors that can expand the company’s research toolkit.
• Structure and oversee scientific collaborations and SOWs to ensure alignment on experimental design, data quality and deliverables.

PROFESSIONAL EXPERIENCE & QUALIFICATIONS

Required

• Bachelor’s degree in life sciences, biotechnology, or related field; PhD required
• 10+ years of experience in biotechnology or pharmaceutical R&D, with exposure to discovery-stage research environments.
• Demonstrated experience enabling or managing complex research programs, scientific collaborations, or research infrastructure.
• Strong understanding of laboratory research workflows and modern approaches to data generation and management.
• Exceptional communication skills and the ability to synthesize complex scientific concepts into clear strategic narratives.

Preferred

• Experience in early-stage or venture-backed biotechnology companies.
• Familiarity with in vivo delivery technologies, genetic medicines, or nucleic acid therapeutics.

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 range for this role is $275,000 - $340,000. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Mirai Bio currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Mirai Bio's good faith estimate as of the date of publication and may be modified in the future.

COMPANY DESCRIPTION

Mirai Bio is a Flagship-backed, privately held biotechnology company on a mission to transform the current approach to information molecule therapeutics to unlock their full therapeutic potential. In recent years, we have begun to experience the power of information molecules in treating historically undruggable diseases and in designing therapies with unprecedented turnaround times. Mirai’s platform integrates nanoparticle development with world-class informatics technologies and a novel pipeline of experimentation and discovery to drive a new generation of highly effective, therapeutically relevant information molecule therapies. We are seeking collaborative, relentless problem solvers that share our passion for impact to join us!

THE ROLE

We are seeking a Senior Director / Vice President of Scientific Strategy & Research Enablement to help architect and scale the research engine that powers this platform. Reporting to the SVP/Head of Platform, this role will operate at the intersection of scientific strategy, platform development, and execution, ensuring that our research organization has the infrastructure, partnerships, and operational frameworks necessary to move rapidly from invention to discovery.

This individual will play a key role in shaping how our science is executed—designing the systems, workflows, and external collaborations that enable scientists to focus on innovation while accelerating the generation of high-quality data and platform insights.

The ideal candidate will combine a strong understanding of modern research environments with the ability to build scalable systems that increase scientific productivity and translate platform capabilities into impactful programs.  This is an individual contributor role that is part of extended Executive Leadership team, and with opportunities for growth.

KEY RESPONSIBILITIES

Scientific Strategy and Research Enablement

• Partner closely with the SVP/Head of Platform and scientific leaders to translate research strategy into an integrated framework for execution across internal teams and external collaborators.
• Design and implement the infrastructure that supports discovery, including research workflows, collaboration frameworks, and data systems that enable efficient experimentation and decision-making.
• Identify opportunities to increase research velocity and rigor by optimizing experimental pipelines, data generation, and knowledge flow across the organization.
• Lead initiatives that remove barriers to scientific progress and improve how the organization generates, integrates, and interprets experimental data.
• Help ensure the organization’s scientific output is communicated clearly and effectively to internal and external stakeholders.
• Collaborate with research, finance, and leadership teams to align resources with the highest-impact scientific opportunities.
• Establish mechanisms for tracking research progress, milestones, and data generation across internal and partnered programs.
• Contribute to building a culture of scientific rigor, transparency, and operational excellence within the research organization.

Platform Development and External Scientific Partnerships

• Develop and manage a network of external collaborators and technology providers that extend the capabilities of the platform.
• Continuously evaluate emerging technologies, experimental capabilities, and vendors that can expand the company’s research toolkit.
• Structure and oversee scientific collaborations and SOWs to ensure alignment on experimental design, data quality and deliverables.

PROFESSIONAL EXPERIENCE & QUALIFICATIONS

Required

• Bachelor’s degree in life sciences, biotechnology, or related field; PhD required
• 10+ years of experience in biotechnology or pharmaceutical R&D, with exposure to discovery-stage research environments.
• Demonstrated experience enabling or managing complex research programs, scientific collaborations, or research infrastructure.
• Strong understanding of laboratory research workflows and modern approaches to data generation and management.
• Exceptional communication skills and the ability to synthesize complex scientific concepts into clear strategic narratives.

Preferred

• Experience in early-stage or venture-backed biotechnology companies.
• Familiarity with in vivo delivery technologies, genetic medicines, or nucleic acid therapeutics.

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 range for this role is $275,000 - $340,000. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Mirai Bio currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Mirai Bio's good faith estimate as of the date of publication and may be modified in the future.

About us 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a Graduate Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. This role is ideal for someone who loves working hands-on with models, has a strong foundation in ML fundamentals, and wants to push the boundaries of AI performance in real-world systems. 

The Team

The Applied AI team’s role is to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for different modalities and applications. 

Responsibilities and Duties

• Implement state-of-the-art machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators. 
• Evaluate new software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews. 
• Benchmark models and key model components to identify performance bottlenecks and improve model efficiency. 
• Design and conduct experiments on novel AI methods, analyse and report results clearly. 
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware. 
• Stay current with AI research and actively engage with the broader AI and open-source community. 

Candidate Profile 

Essential:

• Bachelor’s/Master's degree in Machine Learning, Computer Science, Maths, Data Science, or related field. 
• Proficiency in deep learning frameworks such as PyTorch/JAX and strong software development skills. 
• Solid understanding of deep learning fundamentals — architectures, optimisation, evaluation, and scaling. 
• Capable of designing, executing and reporting from ML experiments. 
• Comfortable working in a fast-moving, occasionally ambiguous environment. 
• Enjoy cross-functional work collaborating with other teams. 

Desirable:

Experience in one or more of: 

• Development of deep learning models including large generative models for language, vision and other modalities; 
• Low-precision/efficient compute; 
• Distributed training of large-scale ML models. 
• Experience writing high performance C++/Triton/CUDA kernels. 
• Contributions to open-source projects or published research. 
• Familiarity with cloud platforms and ML infrastructure. 
• Enthusiasm for presenting, publishing, or engaging in the AI community. 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

About Graphcore

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

The Person 

Graphcore’s experienced, skilled, and motivated engineering team is heavily involved in shaping the future of AI. A successful candidate will exhibit exceptional knowledge in Design for Testability (DFT) and will have a strong technical background and experience in DFT methodologies, complemented by a robust, self-motivated work ethic. The ideal candidate should also have a focus on quality and demonstrate a good understanding of the importance of production test on the success of a product. Some hands-on experience in one or more of the following areas is essential: RTL design, simulations and debugging, synthesis, STA.  

The Role: 

We are expanding and looking for an experienced DFT engineers to join the Silicon team. As a part of our team, you will have the opportunity to work on next-generation AI designs targeted for data centers applications. 

Responsibilities: 

• Keep up with the latest industry trends in DFT domain and help adopt the latest DFT techniques and methodologies 

• Work closely with design, verification, physical design and product engineering teams to integrate DFT requirements into the overall design process 

• Define and implement DFT architecture and features for next-generation AI designs and support their verification effort 

• Develop efficient DFT flows and methodology compatible with silicon design flows 

• Work with 3rd party IPs to integrate the provided design into the DFT infrastructure 

• Generate structural test vectors, analyze and improve test coverage 

• Work with the product and test engineering teams to ensure successful silicon bring-up and help identify any silicon failures to enhance yield learning and improvement 

Requirements: 

• Very good understanding of DFT components like JTAG (IEEE 1149.x), IJTAG (IEEE P1687), Core Test (IEEE P1500), SSN (Streaming Scan Network), Test Compression, OCC etc. 

• Experience on developing DFT specifications and driving the implementation of the DFT features 

• Experience in MBIST and BISR implementation and verification is desired 

• Solid understanding of design verification methodologies for validating the DFT features using simulation in pre-silicon designs 

• Exposure to STA constraints development and analysis for DFT modes and SDF simulations would be a plus 

• Experience in Scan based testing and industry standard ATPG tools 

• Knowledge of ATPG pattern verification and gate-level simulation flows using Synopsys VCS and Verdi or other EDA tools 

• Very good knowledge of Digital Integrated Circuits and Systems 

• Hands-on experience with Verilog RTL coding and familiarity with System Verilog   

• Strong scripting and debugging skills using programming languages like Python, TCL, Perl, Shell etc. 

• Exposure to silicon bring-up, post-silicon testing and tester pattern debugging 

• Strong problem-solving skills across various levels of design hierarchies 

• Great team working and communication skills 

Academic Credentials 

• Bachelors or Masters or PhD in Computer engineering/Electrical engineering/Electronics Engineering

Benefits: 

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments  

We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know. 

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary 

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems

The Team

The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. 

Responsibilities and Duties 

• Develop, own, and maintain tools and services to support AI research and engineering teams 

• Deploy and maintain services with Kubernetes and Docker 

• Manage our Cloud Infrastructure using tools such as Terraform 

Candidate Profile  

Essential: 

• Knowledge of Python 

• Familiarity with cloud services (e.g. AWS) 

• Experience managing or developing in Linux environments 

• Understanding of CI/CD principles 

• Experience using Kubernetes (k8s) 
  
• Experience of one of the following:
  
  
• maintaining machine learning applications.
  
  
• deploying ML orchestration tools (e.g. NV Ray, KFP, SkyPilot).
  
  
• managing ML accelerator hardware (e.g. DCGM).

Desirable 

• Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) 

• Experience with GitHub Actions 

• Experience with modern observability tooling (e.g. Prometheus) 

• Experience with Grafana 

• Knowledge of Go/Java/C++ (or similar language)

  Benefits

  In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

  Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.  

Job Summary

As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

Senior: PLN 260,400 - 352,200
Staff: PLN 350,700 - 474,400
Subject to alignment to the responsibilities and duties of the role - we currently have multiple positions available at both Senior and Staff level

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence

Job Summary

As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

Benefits

In addition to a competitive salary, Graphcore offers annual leave policy, medical and dental health plans, a gym card, and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence

Job Summary

Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices.

The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware

The Team

The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data-driven validation. The team works closely with industry-standard machine learning frameworks and models, contributing to upstream open-source projects and collaborating across the wider software organization. 

Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high-quality products to customers. 

Responsibilities and Duties

• Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack.
• Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience.
• Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware.
• Create representative ML workloads and gain insights from their execution. (Numerical accuracy, performance analysis and benchmarking).
• Work closely with all Software development teams, supporting a culture of quality, security and maintainability.
• Review code and designs, setting a high bar for software engineering best practices.
• Mentor and support junior engineers, helping raise the overall technical capability of the team.
• Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and organizational goals. 

Candidate Profile

Essential:

• Experience in production-quality software engineering roles.
• Strong software design and architecture skills, with experience working on large or complex systems.
• Strong proficiency in Python, including experience building and maintaining production codebases.
• Solid experience with CI/CD systems and automated testing (preferably GitHub-based workflows).
• Experience working in Linux environments.
• Familiarity with C or C++, with the ability to read, debug, and reason about low-level code when needed.
• Proven ability to mentor junior engineers and influence engineering practices within a team.
• Strong problem-solving skills and a proactive, self-directed approach to work.
• Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. 

Desirable

• Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow
• Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines
• Experience working with hardware simulators or emulators (e.g. QEMU).
• Experience developing for or working with FPGA-based systems.
• Experience with people management or mentoring 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.  

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.   

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.  

Job Summary

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems.

The Team

The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible.

Responsibilities and Duties

• Develop, own, and maintain tools and services to support the software build and release process
• Deploy and maintain services with Kubernetes and Docker
• Manage our Cloud Infrastructure using tools such as Terraform
• Support the technical development of junior and graduate engineer
• Embody a strong engineering discipline for high reliability and minimal toil 

Candidate Profile 

Essential: 

• Knowledge of Python/Go/C++ (or similar language) 

• Experience deploying services in the cloud (AWS preferred) 

• Deep understanding of Linux environments 

• Native user of CI/CD for production deployments 

• Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) 

Desirable 

• Experience using Kubernetes (k8s) or OpenStack 

• Experience with GitHub Actions 

• Experience with build tools (e.g. CMake) 
• Experience with modern observability tooling (e.g. Prometheus) 
• Experience with Grafana 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.  

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.   

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.

Job Summary

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems.

The Team

An exciting opportunity to join a new team within the Software Operations group. The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learning Software Stack. You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments.  

Responsibilities and Duties 

• Developing our internal tooling for building, testing and integrating together the ML Software Stack 

• Developing tools and technical processes for Software Releases 

• Providing guidance to developers on best build practices and dependency management 

• Communicating regularly with developers, tech leads, and software architects about aspects of the ML Software Stack 

• Working closely with QA and the ML Software Stack to resolve any integration issues 

• Contributing fixes towards the ML Software Stack 

 Essential: 

• Knowledge of Python/C++ (or similar language) 

• Understanding of Build Processes and Frameworks 

• Experience working in Linux environments 

• Good communication skills  

Desirable: 

• Experience with Remote Caching and Execution (e.g. Bazel) 

• Experience with Build Tools (e.g. CMake) 

• Experience with Testing Frameworks (e.g. PyTest, GoogleTest) 

• Experience with Integration Tools (e.g. Buildstream) 

• Experience working within the Software Development Lifecycle (SDLC) 

• Experience with building and using containers (e.g. Docker, Podman) 

• An understanding of Software Architecture patterns 

  Benefits

  In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

  Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.  

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.   

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.  

Job Summary  

Reporting to a Team Lead in the frameworks team you will play a pivotal role in designing, implementing, optimising, maintaining and supporting the software required to ensure the machine learning accelerators that Graphcore develop enjoy first-class support in state-of-the-art machine learning frameworks such as PyTorch and Triton (note: “Triton” here refers to the Triton language/compiler and not the inference framework).  

This role sees you joining our Triton team, where you will be part of a SCRUM team working on delivering new features, optimise performance, reviewing code changes, writing technical documentation, working with upstream communities, maintaining the code base and supporting users.  

In this role you will closely collaborate with other engineers, both within the Triton team as well as other engineering teams. You help the team coordinate and deliver complex, open-ended technical tasks. You are pro-active and an excellent communicator. You will develop deep expertise in the Triton project and will (in time) contribute to the team’s technical direction and processes. You understand the importance of managing code quality and code complexity and balancing this against the need to deliver business outcomes. 

Note that the job title and associated benefits will be tailored to the successful candidate’s level of experience at the job offer stage to one of Software Engineer, Staff Engineer, Senior Staff Engineer, Principal Software Engineer or Senior Principal Software Engineer. Note that as the machine learning software landscape is quite fast moving and as such flexibility is essential – over time you may be asked to work on teams other than Triton. 

The Team 

The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – Pytorch, Triton, Jax and TensorFlow. We’re a talented and diverse team of engineers and we foster a culture of collaboration, openness and learning. All our software teams follow agile working practices, and we care deeply about both ease-of-use as well as performance. We work closely work with other Graphcore teams as well as leading open-source communities.  

By joining us, you’ll join our exciting journey on the cutting edge of the machine learning industry. Your contributions will make a real difference – enabling machine learning engineers and researchers to unlock the full potential of Graphcore’s hardware.  

Responsibilities and Duties 

• Designing and implementing new features & maintaining and supporting existing features.
• Developing and maintaining unit tests, component tests and integration tests.
• Optimising the software stack to make it more performant for our users.
• Managing complex technical tasks with cross-team dependencies.
• Managing code quality, code complexity and technical debt.
• Provide technical leadership, contributing the team’s technical direction and processes.
• Contributing to documentation, including user manuals and tutorials.
• Conducting code reviews.
• Resolving regressions, performance issues and software defects.
• Coaching and mentoring other team members.
• Contributing to a collaborative team culture.
• Contribute to continuous improvements to improve ways of working.
• Working with upstream open-source development teams. 

Candidate Profile 

Essential: 

• Demonstrable strong software engineering skills.
• Demonstrable experience of Python/C++ development.
• Demonstrable experience of compiler development. 

Desirable: 

• Experience with MLIR (or more generally: SSA-based IRs) is highly desirable. 
• Demonstrable knowledge of AI/ML.
• Understanding of computing architectures.
• Experience of maintaining and supporting a complex code base.
• Experience in profiling / optimising high performance code.
• Experience of writing ML kernels.
• Experience of using and/or development of ML Frameworks.
• Experience in a computationally intensive engineering field. 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.  

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.   

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.  

Summary 

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed system

The Team

The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. 

Responsibilities and Duties 

• Develop, own, and maintain tools and services to support the software org 

• Deploy and maintain Kubernetes infrastructure to develop, test, and scale Graphcore hardware and its software stack 

• Manage our Cloud Infrastructure using tools such as Terraform 

Candidate Profile 

Essential: 

• Practical experience developing in Go 

• Familiarity with cloud services (AWS preferred) 

• Experience managing or developing in Linux environments 

• Understanding of CI/CD principles 

• Strong experience of Kubernetes (k8s) development and deployment 

Desirable 

• Experience developing Kubernetes Controllers 

• Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) 

• Experience with GitHub Actions 

• Experience with distributed HPC systems 

• Experience with modern observability tooling (e.g. Prometheus) 

• Knowledge of Python/C++ (or similar language) 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

Your Opportunity

Scion is paving a path in student living and the Multi-Site Customer Experience Manager is vital in delivering exceptional customer service at our larger communities. The CXM will support three communities with revenue and sales goals by implementing customer experience initiatives and fostering a customer-centric culture, while identifying opportunities to grow relationships. This role demands exceptional interpersonal skills and an all-in work ethic.

Your Benefits

• FLSA Status Exempt
• Discretionary annual bonus
• Paid Time Off
• Health Insurance
• Dental Insurance
• Vision Insurance
• 401k Matching
• Paid Maternal Leave
• Parental Leave
• Learning reimbursement opportunities

Your Responsibilities

Staff Development and Leadership

• Provide leadership and coaching for Experience Team Member staff performance and foster a positive and productive team environment.
• Assist the General Manager with ensuring all onsite staff are trained and compliant with Fair Housing, safety and company policies.

Property Administration

• Assist with planning and executing successful annual Turnover processes.
• Assist with move-in and move-out processes.

Facilities & Capital

• Regularly inspect and report on property curb appeal and overall appearance of building exterior, common areas, amenities, and apartments.
• Coordinate work orders with appropriate staff to ensure requests are being met on time, necessary communication is sent to residents and customer satisfaction remains high.
• Keep a consistent pulse on resident feedback regarding facilities and maintenance needs.

Annual Turnover Process

• Partner with General Managers, Assistant General Managers and Facilities Managers in the planning and execution of annual Turnover processes.

Customer Experience & Sales

• Assist with all customer sales interactions, both personally and through directing team members in alignment with company standards.
• Utilize KPIs to report on trends, insights and proactively address issues.
• Provide expert direction on sales and revenue goals and lead the team to achieve them.
• Utilize KPIs to report on trends, insights and proactively address issues.
• Perform weekly market surveys to Identify and recommend local marketing opportunities, appropriate marketing messages and material to drive traffic to the property.
• Oversee all on-campus and in-person marketing events.
• Execute social media and communication strategies on various platforms to engage customers.

Financial Performance

• Manage promotional material and property incentives meeting marketing and concession budget.

The responsibilities listed above are not all inclusive.

Qualifications

• College graduate preferred, with a minimum of two years of customer service, sales and/or community management experience, or an equivalent combination.
• Previous multi-site experience.
• Ability and willingness to work up to six days per week for necessary level of management coverage.
• Values and fosters a sensitive and supportive approach to a diverse working and living environment.
• Commitment to excellence and high standards, with acute attention to detail.
• Excellent written and verbal communication skills.
• Proficient in Microsoft Office and Property Management Systems.
• Works well with all levels of management.
• Strong organizational, problem-solving, and analytical skills.
• Handles multiple, complex projects, with minimal guidance, prioritizes effectively, and meets deadlines.
• Works well independently and as a member of various teams.

What We Require

• Customer-centric mindset
• Exceptional written and verbal communicator
• Brand awareness
• Marketing and leasing
• Keen organization and prioritization skills
• 1+ years’ experience working in customer service

Relevant Systems and Platforms

• Entrata (Property Management System)
• Greenhouse (Applicant Tracking System)
• Lattice (Performance Management System)
• Turnable (Electronic Turn board)
• Microsoft Office
• Social Media Platforms (Instagram, Tik Tok, Facebook)

Operational Details

• Job location is at the assigned property.
• Working hours consist of daytime business hours and up to six days per week during peak times.

The Scion Group LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, religion, creed, national origin, color, gender, sex, sexual orientation, gender identity or expression, age, physical or mental disability (as long as the employee/applicant is otherwise qualified for the job with or without a reasonable accommodation), genetic information, HIV/AIDS status, marital status, uniformed service, veteran status, pregnancy or other legally protected status or category under federal or state law. The Scion Group LLC complies with applicable state and local laws governing nondiscrimination in employment in all locations in which the Company has properties. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfers, leaves of absence, compensation, training and other terms and conditions of employment. The Scion Group LLC is committed to the principles of equal employment opportunities.

IND1 #wearehiring #werehiring 

POS-4092

About the team

HubSpot’s Data Hub helps RevOps, marketing, sales, and customer teams turn fragmented data into actionable intelligence. We unify data across channels and tools, improve data quality, and activate it inside HubSpot so teams can run AI-powered demand generation, smarter campaigns and sales motions, agentic automations, trustworthy reporting, all without needing to be data experts.

We’re a product engineering team at the intersection of data engineering, ML, applied AI, and go-to-market, and we care as much about reliability, cost, and scale as we do about time-to-value and usability for marketers and sales reps.

About the role

We’re looking for a Principal Software Engineer to lead the next evolution of Data Hub as the backbone for data-driven demand generation.

In this role, you’ll:

• Own core pieces of our data lake and analytics stack (e.g., Iceberg, Spark, batch and streaming pipelines) that power demand gen, segmentation, and scoring at scale.
• Design and evolve data systems that balance cost, latency, data freshness, and reliability, making explicit tradeoffs using concepts like CAP theorem, efficient partitioning, and storage layout.
• Partner closely with PM, product analytics, and GTM leaders to shape commercially meaningful solutions: better lead scoring, funnel visibility, audience building, and campaign attribution for marketers and sales.
• Help make Data Hub an AI‑agent‑forward platform, where curated, evergreen datasets automatically feed AI agents and reporting surfaces rather than requiring manual stitching or ad-hoc pipelines.

Principal Engineers at HubSpot are expected to be hands-on builders, strong partners to product and design, and multipliers for the broader engineering organization.

Key expectations:

Technical skills & domain expertise

• Data engineering & storage: Deep experience building large‑scale data systems with Apache Spark and modern table formats like Apache Iceberg, including efficient partitioning, clustering, and file layout for both heavy ingestion and low‑latency reads.
• Distributed systems & tradeoffs: Applies distributed systems principles and CAP theorem pragmatically to design fault‑tolerant, horizontally scalable services that balance availability, consistency, latency, and cost, where it matters.
• Business outcomes: Can turn ambiguous business goals into clear data models, contracts, and SLAs across multiple storage and compute layers (e.g., Iceberg, warehouses, logs, CRM stores).

As a Principal Engineer, you will:

• Own platform-scale outcomes:  Influence technical direction across the Data Hub product line and shape the architecture for unified profiles, segmentation, and datasets that other teams can build on.
• Be a high-leverage, hands-on builder: Write code and build systems while leading end-to-end delivery of high-impact, multi-quarter initiatives, setting standards for reliability, observability, testing, and incident response.
• Lead through architecture and influence:  Define reusable patterns for ingestion, transformation, quality, sync, and observability, mentor senior engineers and tech leads.

Software development excellence & AI

• Use AI code agents:  Actively use AI-assisted development tools to speed iteration, reduce toil (e.g., scaffolding, tests, refactors), and improve code quality, while defining best practices with the human‑in‑the‑loop approach.
• Champion incremental, outcome-focused delivery:  Break down big, ambiguous problems into incremental milestones that deliver value early and often, balancing long-term platform bets with clear business impact (ARR, adoption, usage, efficiency).
• Raise the bar on engineering practices:  Model strong habits around documentation, design reviews, testing, and observability, and help establish reliability and data quality standards so downstream AI agents and data activation use cases can trust the data they receive.

If you enjoy working at the intersection of data engineering, ML, applied AI, and commercial outcomes, and you like building platforms that make complex data approachable for non-experts, we’d love to talk.

COMPANY DESCRIPTION

Flagship Pioneering is a platform 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

This role will support formulation development and laboratory operations with a primary focus on executing hands-on processing, analytical testing, and sample management activities for dried powder and liquid formulations. The Contract Lab Technician will work closely with the formulations team to support routine laboratory activities, in-process testing, microbiological assays, and fill/pack operations. Work Schedule: This position requires availability for one of the following shifts, Monday through Friday: 6:00 AM–2:00 PM or 11:00 AM–7:00 PM.

KEY RESPONSIBILITIES

1. Spray Dryer Operation & Maintenance

• Operate spray drying equipment in accordance with established protocols
• Monitor process parameters to ensure consistent and safe operation
• Perform routine cleaning and basic maintenance of the spray dryer and
• associated instruments
• Maintain a clean and organized workspace, adhering to safety and quality standards

1. Formulation Preparation

• Aliquot and prepare liquid formulations according to defined recipes and
• protocols
• Accurately measure and mix components while maintaining proper
• documentation
• Ensure proper labeling and handling of all materials

1. Sample Handling & Logistics

• Coordinate packaging, shipment, and receipt of samples to and from CROs and
• CMOs
• Maintain accurate records of sample inventory, shipment status, and chain of
• custody
• Ensure compliance with shipping and handling requirements

1. Fill & Pack Operations

• Execute fill and pack procedures for both powdered and liquid products
• Follow standard protocols for packaging, labeling, and storage
• Perform basic quality checks to ensure product consistency and integrity

General Expectations

• Adhere to all safety, quality, and documentation standards
• Follow standard operating procedures (SOPs) and escalate any deviations
• Support team operations to ensure efficient and reliable process execution

PROFESSIONAL EXPERIENCE & QUALIFICATIONS 

• High school diploma or associate degree in biology, chemistry, biotechnology, microbiology, or a related technical field.
• 1+ years of laboratory, manufacturing, or process operations experience preferred.
• Experience following SOPs and maintaining accurate laboratory records.
• Ability to safely handle laboratory chemicals, powders, and biological materials.
• Strong organizational skills and attention to detail.
• Ability to work independently and collaboratively in a team environment.
• Comfortable standing for extended periods and handling routine laboratory tasks.

LOCATION:  Cambridge, MA

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 range for this role is $24 - $30. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. FL112 currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on FL112's good faith estimate as of the date of publication and may be modified in the future.

MORSE is seeking a skilled Full Stack Software Engineer to join one or more projects in big data, artificial intelligence, autonomous vehicle mission planning, decision systems, and their accompanying cloud applications. Our applications provide cutting-edge, algorithmic-based simulation, situational awareness, machine learning, analysis, and mission planning capabilities to a wide variety of DoD customers. As a member of a small interdisciplinary team of scientists, engineers, and software developers, you will follow Agile development processes and embrace DevSecOps to ensure fast and secure delivery of software services.

Responsibilities:

• Develop and maintain web applications hosted on cloud infrastructure

• Collaborate with infrastructure engineers to containerize applications for cloud deployment

• Implement web page UIs from design documents

• Write backend APIs that interact with cloud services

• Work closely with team members to design, develop, and deploy software applications

• Stay up-to-date with the latest web development and cloud computing trends

• Contribute to the development of new code bases that are heavily object-oriented, extensible, and maintainable

Requirements:

• U.S. Citizenship and the ability to obtain a U.S. Security Clearance (Secret or Top Secret)

• 5+ years of software engineering experience

• Experience with React and front end development

• Experience with Python

• Knowledge of Cloud technologies, including AWS, Azure, or GCP

• Proficiency with Docker and Kubernetes

• Experience with Agile development

• BS or MS in computer science or equivalent degree, or significant professional experience

Desired Skills:

• Experience with HCI and web design

• Experience with microservice architecture

• Experience with IAC tools like Terraform or CloudFormation

• Experience with scalable cloud infrastructure

MORSE is seeking a skilled Full Stack Software Engineer to join one or more projects in big data, artificial intelligence, autonomous vehicle mission planning, decision systems, and their accompanying cloud applications. Our applications provide cutting-edge, algorithmic-based simulation, situational awareness, machine learning, analysis, and mission planning capabilities to a wide variety of DoD customers. As a member of a small interdisciplinary team of scientists, engineers, and software developers, you will follow Agile development processes and embrace DevSecOps to ensure fast and secure delivery of software services.

Responsibilities:

• Develop and maintain web applications hosted on cloud infrastructure

• Collaborate with infrastructure engineers to containerize applications for cloud deployment

• Implement web page UIs from design documents

• Write backend APIs that interact with cloud services

• Work closely with team members to design, develop, and deploy software applications

• Stay up-to-date with the latest web development and cloud computing trends

• Contribute to the development of new code bases that are heavily object-oriented, extensible, and maintainable

Requirements:

• U.S. Citizenship and the ability to obtain a U.S. Security Clearance (Secret or Top Secret)

• 5+ years of software engineering experience

• Experience with React and front end development

• Experience with Python

• Knowledge of Cloud technologies, including AWS, Azure, or GCP

• Proficiency with Docker and Kubernetes

• Experience with Agile development

• BS or MS in computer science or equivalent degree, or significant professional experience

Desired Skills:

• Experience with HCI and web design

• Experience with microservice architecture

• Experience with IAC tools like Terraform or CloudFormation

• Experience with scalable cloud infrastructure

MORSE is seeking a skilled Full Stack Software Engineer to join one or more projects in big data, artificial intelligence, autonomous vehicle mission planning, decision systems, and their accompanying cloud applications. Our applications provide cutting-edge, algorithmic-based simulation, situational awareness, machine learning, analysis, and mission planning capabilities to a wide variety of DoD customers. As a member of a small interdisciplinary team of scientists, engineers, and software developers, you will follow Agile development processes and embrace DevSecOps to ensure fast and secure delivery of software services.

Responsibilities:

• Develop and maintain web applications hosted on cloud infrastructure

• Collaborate with infrastructure engineers to containerize applications for cloud deployment

• Implement web page UIs from design documents

• Write backend APIs that interact with cloud services

• Work closely with team members to design, develop, and deploy software applications

• Stay up-to-date with the latest web development and cloud computing trends

• Contribute to the development of new code bases that are heavily object-oriented, extensible, and maintainable

Requirements:

• U.S. Citizenship and the ability to obtain a U.S. Security Clearance (Secret or Top Secret)

• 5+ years of software engineering experience

• Experience with React and front end development

• Experience with Python

• Knowledge of Cloud technologies, including AWS, Azure, or GCP

• Proficiency with Docker and Kubernetes

• Experience with Agile development

• BS or MS in computer science or equivalent degree, or significant professional experience

Desired Skills:

• Experience with HCI and web design

• Experience with microservice architecture

• Experience with IAC tools like Terraform or CloudFormation

• Experience with scalable cloud infrastructure

We are seeking a Deputy Chief Engineer to lead our efforts in developing and deploying capabilities for artificial intelligence, machine learning, data management, decision systems, and mission planning software applications for the US National Security Ecosystem. This is an exceptional opportunity for an engineer with a combination of technical expertise, program leadership experience, and the ability to interface with customers to drive innovation, collaboration, and excellence in a fast-paced, growing organization.

Responsibilities:

• Set the technical vision and direction for programs, collaborating with internal technical staff and external customers

• Lead multidisciplinary teams developing algorithms, software, cloud, and data management solutions

• Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery

• Cultivate strong relationships with external partners and stakeholders, advocating for MORSE's technology and services

• Identify and pursue new business opportunities, expanding our portfolio and driving long-term growth

• Provide technical oversight and guidance to program team members

Requirements:

• US Citizenship and ability to obtain and maintain a Security Clearance

• Bachelor’s or Master’s or PhD in Computer Science, Software Engineering, Aerospace Engineering, Electrical Engineering, Physics or a related field

• Minimum of 5 years of experience in software development, with a focus on AI/ML, cloud computing, and/or decision systems

• Proven leadership skills, with a track record of successfully managing high-performing technical teams

• Deep understanding of software development principles, methods, and tools

• Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly

• Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences

• Experience with Agile methodologies and DevOps practices

• Familiarity with cloud computing platforms and infrastructure is nice to have 

We are seeking a Deputy Chief Engineer to lead our efforts in developing and deploying capabilities for artificial intelligence, machine learning, data management, decision systems, and mission planning software applications for the US National Security Ecosystem. This is an exceptional opportunity for an engineer with a combination of technical expertise, program leadership experience, and the ability to interface with customers to drive innovation, collaboration, and excellence in a fast-paced, growing organization.

Responsibilities:

• Set the technical vision and direction for programs, collaborating with internal technical staff and external customers

• Lead multidisciplinary teams developing algorithms, software, cloud, and data management solutions

• Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery

• Cultivate strong relationships with external partners and stakeholders, advocating for MORSE's technology and services

• Identify and pursue new business opportunities, expanding our portfolio and driving long-term growth

• Provide technical oversight and guidance to program team members

Requirements:

• US Citizenship and ability to obtain and maintain a Security Clearance

• Bachelor’s or Master’s or PhD in Computer Science, Software Engineering, Aerospace Engineering, Electrical Engineering, Physics or a related field

• Minimum of 5 years of experience in software development, with a focus on AI/ML, cloud computing, and/or decision systems

• Proven leadership skills, with a track record of successfully managing high-performing technical teams

• Deep understanding of software development principles, methods, and tools

• Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly

• Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences

• Experience with Agile methodologies and DevOps practices

• Familiarity with cloud computing platforms and infrastructure is nice to have 

We are seeking a Deputy Chief Engineer to lead our efforts in developing and deploying capabilities for artificial intelligence, machine learning, data management, decision systems, and mission planning software applications for the US National Security Ecosystem. This is an exceptional opportunity for an engineer with a combination of technical expertise, program leadership experience, and the ability to interface with customers to drive innovation, collaboration, and excellence in a fast-paced, growing organization.

Responsibilities:

• Set the technical vision and direction for programs, collaborating with internal technical staff and external customers

• Lead multidisciplinary teams developing algorithms, software, cloud, and data management solutions

• Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery

• Cultivate strong relationships with external partners and stakeholders, advocating for MORSE's technology and services

• Identify and pursue new business opportunities, expanding our portfolio and driving long-term growth

• Provide technical oversight and guidance to program team members

Requirements:

• US Citizenship and ability to obtain and maintain a Security Clearance

• Bachelor’s or Master’s or PhD in Computer Science, Software Engineering, Aerospace Engineering, Electrical Engineering, Physics or a related field

• Minimum of 5 years of experience in software development, with a focus on AI/ML, cloud computing, and/or decision systems

• Proven leadership skills, with a track record of successfully managing high-performing technical teams

• Deep understanding of software development principles, methods, and tools

• Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly

• Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences

• Experience with Agile methodologies and DevOps practices

• Familiarity with cloud computing platforms and infrastructure is nice to have 

MORSE is searching for an experienced Data Scientist with expertise in data analysis, data science, and algorithm development in one or more of a variety of fields including visual classification, big data, natural language processing, machine translation, time sequenced data, and advanced metrics. You will be part of teams performing Test and Evaluation (T&E) of AI and machine learning models and algorithms to give national security customers insights into the capabilities of applying AI to solve real world problems.

Responsibilities:

• Perform data analysis, test and evaluation of existing machine learning algorithms, and development of advanced algorithms to model physical and autonomous systems,

• Work with MORSE’s current team of engineers to transition algorithms to software applications and real-time embedded systems.

• Support the transition of the developed algorithms to software using one or more programming languages such as Python, C, C++, Java, or MATLAB.

• Work with customers, stakeholders, and other vendors to present concepts, analyses, and test results

• Present a path forward and solutions to solve complex data problems

• Research and identify new methods for machine learning and data analysis

Requirements:

• US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance

• Masters or Ph.D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field

• 5+ years of experience in Data Science or Analysis

• Solid understanding of data analysis, physics, linear algebra, statistics, algorithms, optimization, and/or machine learning methods

• Proficiency in one or more programming languages like Python, Matlab, C, or C++

• Demonstrated experience with large, multidimensional, or complex data sets in one or more of the following areas: parsing, cleaning, storage strategies, provenance tracking, database formats, and parallelized data transformations

• Good communication skills

• Self-starter and driven

• Prior experience in defense is a plus

MORSE is searching for a Data Scientist with expertise in data analysis, data science, and algorithm development in one or more of a variety of fields including visual classification, big data, natural language processing, machine translation, time sequenced data, and advanced metrics. You will be part of teams performing Test and Evaluation (T&E) of AI and machine learning models and algorithms to give national security customers insights into the capabilities of applying AI to solve real world problems.

Responsibilities:

• Perform data analysis, test and evaluation of existing machine learning algorithms, and development of advanced algorithms to model physical and autonomous systems,

• Work with MORSE’s current team of engineers to transition algorithms to software applications and real-time embedded systems.

• Support the transition of the developed algorithms to software using one or more programming languages such as Python, C, C++, Java, or MATLAB.

• Work with customers, stakeholders, and other vendors to present concepts, analyses, and test results

• Present a path forward and solutions to solve complex data problems

• Research and identify new methods for machine learning and data analysis

Requirements:

• US CITIZENSHIP REQUIRED and an active Top Secret Security Clearance with SCI eligibility 

• Masters or Ph.D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field

• 3+ years of experience in Data Science or Analysis

• Solid understanding of data analysis, physics, linear algebra, statistics, algorithms, optimization, and/or machine learning methods

• Proficiency in one or more programming languages like Python, Matlab, C, or C++

• Demonstrated experience with large, multidimensional, or complex data sets in one or more of the following areas: parsing, cleaning, storage strategies, provenance tracking, database formats, and parallelized data transformations

• Good communication skills

• Self-starter and driven

• Prior experience in defense is a plus

Job Summary:

We are seeking an experienced and talented Chief Engineer to lead our efforts in developing and deploying capabilities for artificial intelligence, machine learning, decision systems, and mission planning applications. This is an exceptional opportunity for a seasoned engineer to drive innovation, collaboration, and excellence in a fast-paced and growing organization.

Responsibilities:

• Set the technical vision and direction for programs, collaborating with internal technical staff and external customers

• Lead multi-disciplinary teams developing algorithmic, software, cloud, and data solutions

• Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery

• Cultivate strong relationships with external partners and stakeholders, advocating for MORSE's technology and services

• Identify and pursue new business opportunities, expanding our portfolio and driving long-term growth

• Provide technical oversight and guidance to program team members

Requirements:

• US Citizenship and ability to obtain and maintain a Security Clearance. Active Secret, Top Secret, or TS/SCI is preferred. 

• Master's degree or PhD in Aerospace Engineering, Computer Science, Physics, Electrical Engineering, or a related field

• Minimum of 10 years of experience in R&D, with a focus on AI/ML, software, and decision systems

• Proven leadership skills, with a track record of successfully managing high-performing technical teams

• Deep understanding of software development principles, methods, and tools

• Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly

• Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences

• Experience with Agile methodologies and DevOps practices

• Familiarity with cloud computing platforms and infrastructure is nice to have

MORSE is seeking an experienced and talented Chief Engineer to lead our efforts in developing and deploying capabilities for artificial intelligence, machine learning, decision systems, and mission planning applications. This is an exceptional opportunity for a seasoned engineer to drive innovation, collaboration, and excellence in a fast-paced and growing organization.

Responsibilities:

• Set the technical vision and direction for programs, collaborating with internal technical staff and external customers

• Lead multi-disciplinary teams developing algorithmic, software, cloud, and data solutions

• Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery

• Cultivate strong relationships with external partners and stakeholders, advocating for MORSE's technology and services

• Identify and pursue new business opportunities, expanding our portfolio and driving long-term growth

• Provide technical oversight and guidance to program team members

Requirements:

• US Citizenship and ability to obtain and maintain a Security Clearance. Active Secret, Top Secret, or TS/SCI is preferred. 

• Master's degree or PhD in Aerospace Engineering, Computer Science, Physics, Electrical Engineering, or a related field

• Minimum of 10 years of experience in R&D, with a focus on AI/ML, software, and decision systems

• Proven leadership skills, with a track record of successfully managing high-performing technical teams

• Deep understanding of software development principles, methods, and tools

• Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly

• Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences

• Experience with Agile methodologies and DevOps practices

• Familiarity with cloud computing platforms and infrastructure is nice to have

MORSE is looking for an Autonomy Software Engineer to research, develop and prototype novel autonomy software to enable pre-mission planning and operation of novel aircraft and other autonomous systems. MORSE is seeking an aeronautical, aerospace, mechanical, or electrical engineer in optimization, estimation theory, and/or guidance, navigation and control (GNC) algorithms. Responsibilities will include autonomy development from conceptualization, including the selection and evaluation of sensors, implementation, including software development, and evaluation, including data analysis. The role will involve developing and testing code in a simulation and HWIL environment as well as field tests of the implemented autonomy software. The ideal candidate will have a strong foundation in physics, math, statistics, and computer science, as well as experience handling electronic hardware and machine learning. The candidate will work with a multidisciplinary team in an agile environment to rapidly design, prototype and test autonomous systems.

Responsibilities:

• Research, develop, and prototype novel autonomy software and algorithms for autonomous systems

• Develop and evaluate autonomy software from conceptualization to implementation, including selection and evaluation of sensors, software development, and data analysis

• Design, develop, and test algorithms for autonomous systems, including sensor fusion, guidance, navigation, and control

• Develop and test code in simulation and Hardware-In-the-Loop (HWIL) environments, as well as participate in field tests of implemented autonomy software on vehicles and systems

• Collaborate with a multidisciplinary team in an agile environment to rapidly design, prototype, and test autonomous systems

Requirements:

• US CITIZENSHIP REQUIRED or the ability to obtain a U.S. Security Clearance.

• The candidate must have experience developing real-world solutions with computational constraints, measurement errors, and modeling uncertainty

• 5+ years of Autonomy, Guidance, Navigation and or Controls experience 

• Experience with developing both algorithms and the simulations for test and validation

• Expertise in positioning, navigation, and timing, particularly for aircraft

• The ideal candidate will have experience working on complex, multi-disciplinary R&D programs

• BS. or M.S. (preferred) in Aeronautical/Aerospace, or Electrical Engineering (Control or Signal Processing focus)  or equivalent degree/major

Desired Qualifications:

• Expertise in sensor fusion such as Kalman filtering and experience with multiple sensing modalities

• Experience with designing and integration of autonomy hardware (sensors, flight controllers)

• Experience with C++ and Python software languages and software design best practices.

• Experience with sensor modeling, simulation, and performance analysis

• Experience in ML model development and deployment using open-source tooling such as PyTorch and ONNX

• Ability to lead a small multi-disciplinary team is a plus

MORSE is seeking highly motivated and talented Software Engineers with Cloud skills to join our innovative team, supporting various projects that provide critical AI, machine learning, simulation, situational awareness, and mission planning capabilities to a diverse range of Department of Defense (DoD) customers.

As a Cloud Software Engineer at MORSE, you will have the opportunity to work on cutting-edge technology, contributing to the success of our applications and making a meaningful impact on our customers. You will collaborate with a teams of engineers and data scientists to design, develop, and deliver high-quality software products that meet the highest standards of quality, scalability, and reliability.

Responsibilities:

• Design and develop scalable, efficient, and reliable software applications using Python 

• Develop and maintain cloud infrastructure 

• oversee the deployment of cloud services and compliance to security guidelines

• Participate in design reviews, code reviews, and pair programming to ensure high-quality code and knowledge sharing

• Stay up-to-date with the latest software engineering trends, tools, and technologies

• Collaborate with cross-functional teams to deliver high-quality software products, ensuring seamless integration and deployment

• Contribute to the development of new codebases that emphasize object-orientation, modularity, and maintainability

Requirements:

• US citizenship and the ability to obtain a U.S. security clearance (Secret, Top Secret, or TS/SCI)

• Expertise in Python 

• 1+ years of experience working with AWS, Azure or GCP.

• Experience with Terraform or Cloud Formation

• Strong understanding of relational databases and version control systems (e.g., Git)

• Experience with Docker, Docker-compose, or Kubernetes

• Familiarity with Agile development methodologies (Scrum or Kanban) and microservice architecture

• Strong communication skills and self-motivation

• Bachelor's or Master's degree in Computer Science or a related field (or significant professional experience)

• 3+ years of software development experience

MORSE is seeking highly motivated and talented Software Engineers with Cloud skills to join our innovative team, supporting various projects that provide critical AI, machine learning, simulation, situational awareness, and mission planning capabilities to a diverse range of Department of Defense (DoD) customers.

As a Cloud Software Engineer at MORSE, you will have the opportunity to work on cutting-edge technology, contributing to the success of our applications and making a meaningful impact on our customers. You will collaborate with a teams of engineers and data scientists to design, develop, and deliver high-quality software products that meet the highest standards of quality, scalability, and reliability.

Responsibilities:

• Design and develop scalable, efficient, and reliable software applications using Python 

• Develop and maintain cloud infrastructure 

• oversee the deployment of cloud services and compliance to security guidelines

• Participate in design reviews, code reviews, and pair programming to ensure high-quality code and knowledge sharing

• Stay up-to-date with the latest software engineering trends, tools, and technologies

• Collaborate with cross-functional teams to deliver high-quality software products, ensuring seamless integration and deployment

• Contribute to the development of new codebases that emphasize object-orientation, modularity, and maintainability

Requirements:

• US citizenship and the ability to obtain a U.S. security clearance (Secret, Top Secret, or TS/SCI)

• Expertise in Python 

• 1+ years of experience working with AWS, Azure or GCP.

• Experience with Terraform or Cloud Formation

• Strong understanding of relational databases and version control systems (e.g., Git)

• Experience with Docker, Docker-compose, or Kubernetes

• Familiarity with Agile development methodologies (Scrum or Kanban) and microservice architecture

• Strong communication skills and self-motivation

• Bachelor's or Master's degree in Computer Science or a related field (or significant professional experience)

• 3+ years of software development experience

MORSE is seeking a Human Computer Interaction Engineer to conduct user research, design, prototype, and evaluate systems under development. As a Human Computer Interaction Engineer, you will assist in design efforts for novel, cutting edge mobile, web, and software applications in artificial intelligence, machine learning, test & evaluation, and aerospace. You may also do front end software development, Many of the systems we develop are the first of their kind and are highly specialized for the military personnel who use them. We strongly believe that user-centered design is the only methodology to properly develop these systems.

This role will require superior communication and presentation skills. This person will be expected to conduct user research exercises to gain domain knowledge/insights and evaluate prototypes. This person must also be able to convey ideas/concepts to the rest of the development team and to stakeholders. This role requires a design background in some shape or form: either formal training or experience designing applications. Also, the ability to convey ideas visually through sketches, prototypes, or adobe tools is a necessity. Finally, this position requires candidates to have software development skills. Being able to implement designs (in code) is highly desired for this position.

RESPONSIBILITIES:

• Collaborate with cross-functional teams to define and design user experiences for Mobile, Desktop, and Web applications

• Design and development of software applications and software implementation of user interaction/experience designs

• Conduct user research exercises to gain domain knowledge/insights and evaluate prototypes

• Design, prototype, and evaluate novel data visualizations

REQUIREMENTS:

• US Citizenship required and ability to obtain a US Security Clearance.

• BS  degree in Information Design, Human Computer Interaction, Computer Science, Data Science, Engineering, or related subject

• An Interest in User Interface (UI) Design, User Experience (UX Design), Human-Machine Teaming, Human-AI Teaming, Human Computer Interaction, and/or Human Factors

• Experience conducting user research and understanding of various methods to perform such studies

•  Experience with Python, JavaScript, and React 

• Experience designing and prototyping software applications

• Visual design experience

• Exemplary communication skills (move higher) presenting to internal teams

• Self-starter and driven

MORSE is searching for a Lead Data Scientist with expertise in data analysis, data science, and algorithm development in one or more of a variety of fields including visual classification, big data, natural language processing, machine translation, time sequenced data, and advanced metrics. You will lead teams and strategy for Algorithm Test and Evaluation (T&E) of AI and machine learning models and algorithms to give national security customers insights into the capabilities of applying AI to solve real world problems.

Responsibilities:

• Define goals and expectations for algorithm T&E performance

• Research artificial intelligence data splitting, metrics, and T&E methodology

• Lead strategy and coordination with algorithm development vendors

• Work with customers, stakeholders, and other vendors to present concepts, analyses, and test results

• Present a path forward and solutions to solve complex data problems

• Work with MORSE’s current team of engineers and scientists to transition algorithms to software applications and real-time embedded systems.

Requirements:

• US CITIZENSHIP REQUIRED and an Active Top Secret U.S. Security Clearance with SCI eligibility (TS/SCI) 

• Masters or Ph.D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field

• 7+ years of experience in Data Science, Artificial Intelligence, or Machine Learning

• Expertise in artificial intelligence, machine learning, and data science 

• Experience in algorithm development and testing

• Excellent communication and presentation skills

• Self-starter and driven

• Ability to be onsite 4-5 days/week 

MORSE is seeking highly motivated and talented Python Software Engineers to join our innovative team, supporting various projects that provide critical AI, machine learning, simulation, situational awareness, and mission planning capabilities to a diverse range of Department of Defense (DoD) customers.

As a Python Software Engineer at MORSE, you will have the opportunity to work on cutting-edge technology, contributing to the success of our applications and making a meaningful impact on our customers. You will collaborate with a teams of engineers and data scientists to design, develop, and deliver high-quality software products that meet the highest standards of quality, scalability, and reliability.

Responsibilities:

• Design and develop scalable, efficient, and reliable software applications using Python 

• Participate in design reviews, code reviews, and pair programming to ensure high-quality code and knowledge sharing

• Stay up-to-date with the latest software engineering trends, tools, and technologies

• Collaborate with cross-functional teams to deliver high-quality software products, ensuring seamless integration and deployment

• Contribute to the development of new codebases that emphasize object-orientation, modularity, and maintainability

Requirements:

• US citizenship and the ability to obtain a U.S. security clearance (Secret, Top Secret, or TS/SCI)

• Expertise in Python 

• Strong understanding of relational databases and version control systems (e.g., Git)

• Experience with Docker, Docker-compose, or Kubernetes

• Familiarity with Agile development methodologies (Scrum or Kanban) and microservice architecture

• Strong communication skills and self-motivation

• Bachelor's or Master's degree in Computer Science or a related field (or significant professional experience)

• 5+ years of software development experience

Preferred Qualifications:

• Experience with cloud computing platforms (AWS, Azure, GCP)

• Knowledge of Spark or PySpark

• Background in mathematics or computer science

• Experience with DevOps tools and practices

• Familiarity with containerization technologies 

• Experience or desire to lead technical teams

MORSE is seeking highly motivated and talented Python Software Engineers to join our innovative team, supporting various projects that provide critical AI, machine learning, simulation, situational awareness, and mission planning capabilities to a diverse range of Department of Defense (DoD) customers.

As a Python Software Engineer at MORSE, you will have the opportunity to work on cutting-edge technology, contributing to the success of our applications and making a meaningful impact on our customers. You will collaborate with a teams of engineers and data scientists to design, develop, and deliver high-quality software products that meet the highest standards of quality, scalability, and reliability.

Responsibilities:

• Design and develop scalable, efficient, and reliable software applications using Python 

• Participate in design reviews, code reviews, and pair programming to ensure high-quality code and knowledge sharing

• Stay up-to-date with the latest software engineering trends, tools, and technologies

• Collaborate with cross-functional teams to deliver high-quality software products, ensuring seamless integration and deployment

• Contribute to the development of new codebases that emphasize object-orientation, modularity, and maintainability

Requirements:

• US citizenship and the ability to obtain a U.S. security clearance (Secret, Top Secret, or TS/SCI)

• Expertise in Python 

• Strong understanding of relational databases and version control systems (e.g., Git)

• Experience with Docker, Docker-compose, or Kubernetes

• Familiarity with Agile development methodologies (Scrum or Kanban) and microservice architecture

• Strong communication skills and self-motivation

• Bachelor's or Master's degree in Computer Science or a related field (or significant professional experience)

• 5+ years of software development experience

Preferred Qualifications:

• Experience with cloud computing platforms (AWS, Azure, GCP)

• Knowledge of Spark or PySpark

• Background in mathematics or computer science

• Experience with DevOps tools and practices

• Familiarity with containerization technologies 

• Experience or desire to lead technical teams

The Role:

Reporting to the Head of Nuvalent Medical Affairs, the Senior Director of Medical Affairs Operations will serve as a strategic thought partner to the Head of Medical Affairs and the Medical Affairs Leadership Team (MALT). This role provides operational leadership, discipline, and alignment across Medical Affairs, ensuring that objectives, processes, and resources are optimized to deliver impact at scale. The incumbent will drive operational excellence, enable cross-functional collaboration, and oversee field operations, insights, and analytics to support the organization’s growth and transformation.

Responsibilities:

• Strategic Partnership & Leadership
  • Act as a trusted advisor to the Head of Medical Affairs and MALT, shaping operational strategy and execution.
  • Drive strong cross-functional team planning and alignment (e.g. MALT, MALT/CLT, Medical Strategy, and IEGT), ensuring smooth ways of working and operational discipline, with seamless execution of strategic priorities.
• Performance Management and Launch Readiness
  • Lead KPI and objectives planning, tracking, and reporting to ensure accountability and transparency.
  • Develop dashboards and reporting frameworks to provide real-time visibility into Medical Affairs performance, risks, and resource utilization; establish frameworks for measuring impact and continuous improvement.
• Operational Excellence and Continuous Improvement
  • Define and evolve ways of working within Medical Affairs, including process development, capability building, and cross-functional orchestration.
  • Drive continuous process improvement and simplification, including SOP development and refinement to ensure scalability and compliance.
• Financial Stewardship
  • Oversee budget planning, forecasting, and resource allocation to ensure fiscal discipline and strategic investment.
  • Partner with Finance to align operational spend with organizational priorities.
• Risk Management & Executive Communications
  • Identify, assess, and mitigate operational risks, ensuring proactive management and transparent escalation to leadership.
  • Craft and deliver executive communications that synthesize operational performance, risks, and strategic initiatives for senior leadership and board audiences.
• Strategic Initiatives and Capability Building
  • Support and enable key initiatives such as regional expansion, organizational transformation, and business model evolution.
  • Support Medical capability building initiatives, ensuring teams are equipped with the skills, processes, and tools to deliver impact.
• Knowledge & Communication
  • Establish central knowledge management systems to ensure accessibility and transparency of information.
  • Facilitate effective team communication and alignment across Medical Affairs and field teams.
• Field Operations & Analytics
  • Provide oversight of field operations, insights generation, and analytics to inform strategy and decision-making.
  • Ensure robust mechanisms for capturing and translating field intelligence into actionable insights.
• Team Facilitation & Culture
  • Foster a high-performance culture through facilitation, coaching, and team development.
  • Enable collaboration, accountability, and continuous learning across Medical Affairs.

Competencies Include:

• Strategic thinker with operational rigor.
• Collaborative leader who builds trust and alignment across diverse stakeholders.
• Skilled in change management and organizational transformation.
• Adept at balancing strategic priorities with tactical execution.
• Committed to fostering a culture of accountability, transparency, and innovation.

Qualifications:

• Advanced degree in life sciences, healthcare, or related field; MBA or equivalent preferred.
• 10+ years of experience in Medical Affairs, clinical development, or related operational leadership roles.
• Proven track record of leading cross-functional teams and driving operational excellence in complex organizations.
• Strong financial acumen with experience in budget management and forecasting.
• Expertise in KPI development, performance tracking, and analytics.
• Exceptional communication, facilitation, and stakeholder management skills.
• Ability to synthesize complexity into clear, actionable frameworks for executive and board-level audiences.

Additional Information:

Nuvalent is committed to fair and equitable compensation practices, aiming to provide employees with competitive total rewards packages.

The targeted salary range reflects what Nuvalent reasonably and in good faith expects to offer for this position at the time of posting, but the final salary determination may be within or outside this range based on various factors, including, but not limited to, experience, skills, education, and market factors.  The range will be reviewed regularly and is subject to change.

Nuvalent also offers a comprehensive benefit package to support our employees at each stage of their career, financial, health, and well-being journey, including medical, dental, and vision insurance, 401(k) retirement savings plan, generous paid time off (including a summer and winter company shutdown), and much more.

Coordinator, Development & Program Operations

Harvard Hillel

Role Overview

The mission of Harvard Hillel is to be a Jewish home, both physical and virtual, on the Harvard University campus.  Harvard Hillel welcomes all students to experience the variety of Jewish identity, tradition, practice, values, culture, and community and to inspire and enable connections on campus and beyond. Harvard Hillel (HH) students find meaningful connections and friendship while engaging in unique opportunities to make Jewish thought and culture integral in the life of the University. 

The Coordinator, Development & Program Operations (the Coordinator) serves as a hub of information, pro-active project management, and administrative expertise for Harvard Hillel’s fundraising and student-facing program teams. The Coordinator works closely with Central Services to plan and implement activities shared between Development, Program, and Operations.  

The Coordinator’s primary responsibilities are to plan, coordinate, and communicate upcoming activities of the Development and Program departments, and to coordinate and communicate upcoming shared projects effectively across departments. The Coordinator engages across the organization to play an active role leading and supporting high-impact projects.

As the organization’s needs evolve, and the Coordinator develops their experience and skills, it is anticipated that the Coordinator will be mentored and trained into a donor-facing Development role.

What You’ll Do

Development Operations

• Support fundraising success and learn about fundraising strategy.
• Maintain the fundraising management database and related online systems, as the key tools of development operations, to ensure effective stewardship of existing constituents.
• Actively manage the fundraising management system (Donor Perfect), ensuring clean records, data, outreach lists.
• Actively manage the communication tools (Constant Contact and HH website), ensuring effective engagement of audience segments.
• Work closely with colleagues across departments, including Operations, central services, and finance, to record and track information and materials for pledges, gifts, donations, grants and contracts routinely scanning, tracking, communicating, and acknowledging as needed between departments.
• Project manage a donor records project, establishing an implementation timeline and metrics of success, to verify the accuracy, completeness, and confidentiality of donor records.
• Maintain relationships with donors, customers, and vendors to bring forward payments, billing, contracting, and trouble-shoot inquiries as needed.

Development Engagement

• Plan and implement future fundraising activities, guided by research and engagement of prospective donors, funders, and other constituents of Harvard Hillel.
• Conduct research to identify prospective donors, corporate funders, and private foundations.
• Coordinate fundraising appeals across social media, email, website, and print.
• Track gifts in Donor Perfect; generate and send acknowledgements for pledges, gifts, donations, and other payments.
• Engage with Harvard Hillel Board of Directors and staff to steward gifts and pledges.
• Engage with colleagues across departments to coordinate and implement fundraising events.

Program Operations

• Manage HEART, the Harvard Hillel student engagement database, guided by programming goals to engage students throughout the academic year.
• Design and manage forms across multiple tools to support student engagement through event registrations, student surveys, and payments for student trips.
• Support student-led travel and logistics as needed, working closely with the Program Director, student leaders, and others as needed.
• Work closely with colleagues who are planning and coordinating program-related events. Engage in shared support as needed for High Holidays and on-site events.
• Other duties as assigned.

What You’ve Accomplished

• Open and willing to engage in conversations about religion, and to learn about Judaism and Israel in a way that inspires stakeholders to invest in our work.
• No less than 2 years of experience in a dynamic position in a non-profit organization.
• Highly collaborative problem-solver with curiosity to engage across teams both inside and outside of Hillel to successfully manage competing priorities.  
• A self-starter, adept at project management tools and practices, time-management and effective communications both verbally and in writing.
• Highly comfort working effectively both independently and in teams to meet goals and deadlines.
• Skilled at creative, data driven, presentations.
• Intermediate knowledge of Microsoft Office tools; comfortable in both Powerpoint and Canva.
• Highly empathetic with a positive attitude and sense of humor.
• Bachelor's degree or equivalent.

What You’ll Receive

• Salary range is ~$60,000 commensurate with experience. 
• A comprehensive benefits package, including health insurance, retirement plan, Life, AD&D and Long-Term Disability (LTD) insurances, Flexible Spending accounts, generous vacation/sick time, and parental leave.
• Great professional development, mentoring, and skill building opportunities.
• A unique opportunity to develop and promote a vibrant, pluralistic Jewish community at Harvard Hillel

About Harvard Hillel 

Harvard Hillel offers staff a unique opportunity to serve, work, and grow with a remarkable community of young adults, lay leaders, and colleagues. Harvard Hillel is an equal opportunity employers. We are committed to creating an accepting and inclusive environment for all. 

Harvard Hillel is affiliated with Hillel International. Hillel International enriches the lives of Jewish students so they may enrich the Jewish people and the world and envisions a world where every student is inspired to make an enduring commitment to Jewish life, learning and Israel.

Director, Finance & Administration

Harvard Hillel

Location: On Site, Harvard Hillel  |  Cambridge, MA

Employment Status: Exempt salaried staff member

Reporting: Jason Rubenstein, Executive Director 

Salary Range: $100,000 - $120,000

Role Overview

The mission of Harvard Hillel is to be a Jewish home, both physical and virtual, on the Harvard University campus. Harvard Hillel welcomes all students to experience the variety of Jewish identity, tradition, practice, values, culture, and community and to inspire and enable connections on campus and beyond. Harvard Hillel students find meaningful connections and friendship while engaging in unique opportunities to make Jewish thought and culture integral in the life of the University.

The Director, Finance & Administration (Director) reports to the Harvard Hillel executive director who has been in the role less than two years. As a team, you will engage effectively with internal and external constituent groups around operational excellence at Harvard Hillel. The Director will move easily between strategic decision-making, governance requirements, and the everyday tactical coordination and planning that brings operational priorities to fruition. The Director serves as an empathetic and collaborative leader and coach, where operational excellence and a positive engagement around organizational culture is as important as rigorous monitoring of systems and process.

The Director’s role will ensure effective and consistent financial integrity and compliance of this 501(c)(3) institution. Working closely with the executive director, chief of staff, and other stakeholders, the Director will oversee the planning, coordination, and tracking of institutional annual goals against budget. The Director will serve as a trusted advisor and thought partner to the executive director and staff on organizational priorities, strategic goal setting, and effective project coordination in relation to designing and meeting budget goals.

Key to the success of the Director’s role is to add capacity to the executive director to support the transformation of the institution and its future. In year one, the Director will actively engage with colleagues and outsourced providers to modernize financial budgeting systems, tracking and reporting. Over time, a successful Director in this role will help reshape Harvard Hillel—its building and its operations, to move the organization forward.

Anticipated accountabilities are outlined below. The Director will be expected to actively surface and collaboratively projects to design and address anomalies to ensure work moves forward effectively and efficiently.

What You’ll Do

Annual Planning & Financial Management

• Accounting, Banking, Benefits, Insurances, Payroll: accountability for ensuring an annual cycle, with relevant systems, tracking, and reporting designed and implemented to record and reflect on the overall fiscal health of the organization.
  • Lead annual budget cycle: engaging with budget holders and other colleagues to establish and coordinate an effective budget planning process and reporting tools to support budget holders’ ability to manage and track their budgets and cashflow. At minimum, monthly and quarterly budget reviews, cash flow management and reporting, and ad-hoc tracking and issue resolution as needed. Ensure organizational priorities are visible, clear, and actionable in relation to budget monitoring and tracking. Lead communications in relation to annual budget cycle process and the obligations of contributors. Serve as a trusted colleague and coach around budget management, accountability, and tracking in relation to finance and budgets.
  • Lead annual cycle of audited financial statements and filings: engage with external providers to oversee and actively manage the timely scheduling and delivery of an annual audit; delivery of a 990, and to meet an annual schedule of filing obligations.
  • Annual Insurances: engage with a broker and others to manage insurance obligations for this 501(c)(3) organization.
  • Departmental planning and analyses: In year one, redesign financial planning, budgeting, tracking, and reporting systems, with analysis tools that are right-sized for the institution, in preparation for a capital project to renovate the historic Rosovsky building and to support the institution's journey to scale.

Board of Directors Operations

• Working closely with the chief of staff and executive director, and Board committees, plan and coordinate audit, finance, and risk related committees and reporting to meet timely Board reporting and meetings. Serve as the staff liaison for finance, audit, and risk related committee meetings and discussions.
• Support committee development, structures, and governance principles and processes to ensure the organization’s ByLaws support and drive compliance and governance decision-making in relation to financial risk.

Fiscal Sponsorships Management

• In close coordination with the Director of Programs and others, actively manage student-led initiatives related to financial controls, guidance on policy, procurement, and expenditures and timely payments of events for student-led projects.

Policy Design and Management

• Actively review and manage organizational policies in relation to both risk management and business continuity, balancing the organization’s values and core programming, to facilitate a smooth-running institution in service of students and other stakeholders.
• Schedule routine policy review cycles to ensure the organization is up to date with best practices and technologies to function with operational excellence.

Human Resources

• Work closely with payroll providers and benefits brokers to manage an annual benefits cycle of enrollments and benefits assessments, actively engaging and communicating with staff through a benefits review cycle.
• Actively engage with the chief of staff to design and implement an annual cycle of health and safety protocols specific to this institution. Working closely with the chief of staff and executive director, actively track and monitor engagement in mandatory trainings for Boston, MA.
• Work in close partnership as needed on staff disciplinary activities, including investigations, performance management support, hiring and termination, holding personnel records and record keeping for related human resources materials.

Facilities

• Oversee the planning of budgets and coordination support needs for buildings owned or rented by Harvard Hillel.
• Oversee the health and safety, security, and business continuity planning around onsite activities, in close partnership with the manager of facilities and operations and the executive director.
• Oversee onsite programmatic activities and events in close liaison with the Director of Program and Facilities Manager, ensuring smooth running of event scheduling, planning, and logistics.
• Oversee management and coordination of facilities technologies serve onsite programming through facilities.
• Identify and manage cost-savings opportunities for services provided by Harvard University and others.

Minimum Qualifications

• 10+ years of experience as a CFO with an Operations portfolio, Finance & Operations Manager, or similar role in a nonprofit or community engagement organization.
• High comfort in Microsoft Office tools, QBO, Bill.com, other financial management platforms.
• Bachelor’s Degree or equivalent.

Knowledge, Skills and Abilities 

• 8+ years of progressive experience in nonprofit or mission-driven leadership roles.
• Commitment to the organization’s mission and respectful of Jewish values.
• Demonstrated success in strategic planning and execution, operational systems and tracking, and Board governance. People-center systems thinker, with strong success operationalizing strategies into trackable, measurable action plans.
• Strong financial, project management, and institutional administration skills.
• Exceptional written, verbal, and interpersonal skills.
• Highly effective manager of people, projects, and budgets.
• Adaptable, sound judgment, diplomatic, and respectful of holding sensitive information.
• Ability to successfully balance high emotional intelligence with result-driven project management and serving as an empathetic culture carrier who models collaborative leadership and teamwork.
• Open and willing to engage in conversations about religion, and to learn about Judaism and Israel in a way that inspires stakeholders to invest in our work.
• Highly collaborative problem-solver with curiosity to engage across teams both inside and outside of Hillel to successfully manage competing priorities.
• A self-starter, adept at project management tools and practices, time-management and effective communications both verbally and in writing.
• Highly comfort working effectively both independently and in teams to meet goals and deadlines.

Benefits

• A comprehensive benefits package, including health insurance, retirement plan, Life, AD&D and Long-Term Disability (LTD) insurances, Flexible Spending accounts, generous vacation/sick time, and parental leave.
• A unique opportunity to develop and promote a vibrant, pluralistic Jewish community at Harvard Hillel.

Harvard Hillel is affiliated with Hillel International. Hillel International enriches the lives of Jewish students so they may enrich the Jewish people and the world, and envisions a world where every student is inspired to make an enduring commitment to Jewish life, learning and Israel.

Director of Operations and Strategy

Harvard Hillel

About the Role

Harvard Hillel seeks an exceptional founding professional to institutionalize and sustain The Camel, a highly successful Harvard- and MIT–student-led initiative that has emerged as one of the most dynamic platforms for Jewish, Israeli, and cross-cultural engagement on elite campuses. 

Launched in 2024 as a student startup, The Camel has been conceived, built, and led by students—and has rapidly grown into a high-impact initiative backed by leading figures in business and Jewish philanthropy. In its first year, The Camel welcomed nearly 2,000 students (approximately half non-Jewish) to more than 20 events and culminated in a three-day Hackathon connecting elite Israeli innovators and IDF veterans with Harvard and MIT students.

This role is designed to institutionalize and provide continuity to The Camel while preserving, cultivating, and strengthening its student-led DNA. The Director will serve as the professional anchor—ensuring financial rigor, operational excellence, donor stewardship, and long-term sustainability—while fostering student leadership development, governance, and succession so that The Camel continues to thrive as a student-driven movement.

The Director will work in close partnership with student leaders and maintain a dotted-line reporting relationship to the Camel Student Board, supporting their vision and empowering them to drive growth, programming, and culture.

This is a founding leadership role at a pivotal moment, shaping how a successful student startup matures into a durable, multi-campus, and international institution.

Position Overview

• Title: Director of Operations and Strategy
• Status: Full-time (40 hours/week; flexible as required by programming)
• Reports to: Director of Development 
• Dotted-line relationship: Camel Student Board & Executive Director

Key Responsibilities

Institutional Leadership & Continuity for The Camel

• Serve as the founding professional leader responsible for institutionalizing The Camel while preserving its student-led ethos.
• Partner closely with the Camel Student Board  and founders to translate student vision into executable, sustainable strategy
• Build and maintain the operational, financial, and governance infrastructure that allows student leadership to succeed year after year
• Implement student leadership succession frameworks, ensuring continuity across graduating classes
• Act as steward of institutional memory, systems, and best practices as student leadership turns over
• Serve as the operational and administrative interface between student leadership, Harvard Hillel administration, and external partners, while supporting student leaders in maintaining and strengthening those relationships.

Financial Management, Operations & Stakeholder Stewardship 

• Establish financial systems and Implement financial operations for The Camel, including budgeting, expense tracking, accounts payable/receivable, and reporting, in coordination with student Board
• Manage six-figure to seven-figure program budgets with transparency and rigor
• Support the execution of 3+ complex, high-production events per month, working hand-in-hand with student leaders
• Serve as primary staff liaison to donors, advisory board members, speakers, and strategic partners
• Prepare financial and impact reports for student leadership, advisory boards, and philanthropic stakeholders
• Coordinate advisory board meetings and donor briefings
• Oversee gift processing, vendor payments, and donor acknowledgments in compliance with nonprofit and university systems
• Track engagement metrics and outcomes to support fundraising and strategic growth

Required Qualifications

• Bachelor’s degree and 3–7 years of progressively responsible experience in operations, finance, nonprofit management, or program leadership
• Demonstrated experience managing budgets and financial reporting and systems
• Strong comfort partnering with student leaders while providing professional structure and accountability
• Exceptional organizational and interpersonal skills
• Experience working with high-level stakeholders, donors, or advisory boards
• Ability to thrive in fast-paced, high-visibility environments
• Willingness to work flexible hours

Compensation & Benefits

• Salary range: $75,000 – $85,000, commensurate with experience
• Comprehensive benefits package including health insurance, retirement plan, and generous paid time off
• Unparalleled access to influential entrepreneurs, investors, and philanthropists
• Opportunity to help institutionalize a nationally scalable, student-driven model

About Harvard Hillel & The Camel

Harvard Hillel is a Jewish home that welcomes all students to explore Jewish identity, culture, and community at one of the world’s most influential universities.

The Camel is a student-founded and student-led initiative redefining Jewish and Israel engagement through inspiration, innovation, and opportunity.

Harvard Hillel is affiliated with Hillel International. Hillel International enriches the lives of Jewish students so they may enrich the Jewish people and the world, and envisions a world where every student is inspired to make an enduring commitment to Jewish life, learning and Israel.

Orthodox Rabbi

Harvard Hillel

Role Overview

Harvard Hillel is looking for a dynamic Orthodox Rabbi to foster a warm, inspiring Jewish community for students, faculty, and staff. The ideal candidate makes Jewish tradition exciting and meaningful through teaching, mentorship, and pastoral care, and is deeply aligned with the religious values, practices, and spiritual aspirations of our students. In addition to high level guidance, the Orthodox Rabbi engages with students on a day to day basis, building relationships and supporting their Jewish journeys. Within Harvard’s pluralistic Jewish community, the Orthodox Rabbi is a committed and inspiring exemplar of Torah and mitzvot, drawing on the depth and wisdom of Judaism to enrich the entire Jewish community and broader campus life. He collaborates closely with Hillel staff and student leaders to plan, develop, and execute programs that bring the community together while supporting student leaders in taking on increasing responsibility for their community, their own experiences and spiritual growth, and that of their peers.

This role is 10 months/year with June and July off.

What You’ll Do

• Advise the Orthodox Student Minyan: Serve as the student minyan advisor, providing shiurim, drashot, chavrutot, and organizational support. Act as a halakhic and hashkafic guide to Orthodox students, and the local Orthodox minyan as needed. 
• Teach Torah: Teach Torah in ways that are textually ambitious, intellectually sophisticated, inviting of questions, and responsive to students’ interests. In classes and informal settings, you’ll regularly facilitate complex conversations characterized by humility, curiosity, and respect for multiple perspectives. Beyond group settings, you will learn regularly in chavruta with multiple students.
• Welcome students in your home: Host students regularly for Shabbat and holiday meals, cultivating a sense of home and close-knit community for students away from their families.
• Create a warm Shabbat and Chag Environment: Support students and the rabbinic team in making Shabbatot and Chaggim times of connection and holiness, including at least one off-site Shabbaton for the Orthodox community.
• Provide pastoral care and mentorship: Build substantial relationships with a wide swath (> 100) undergraduate and graduate students through pastoral care, chavruta learning, teaching, and mentorship. Maintain a consistent, visible, and accessible presence in students’ daily lives, and work to make sure every Jewish student feels invited into and curious about deeper Jewish learning and practice, by modeling a grounded openness to their thoughts and experiences.
• Contribute to a pluralistic community: Grounded in Orthodox practice and identity, you will bring together elements of Harvard’s diverse Jewish community. This includes engaging respectfully and curiously with students’ and colleagues’ religious and moral commitments even and especially when they differ from your own. Beyond the Jewish community, you will participate in campus conversations and gatherings, including joining the Harvard Chaplains’ community.
• Be an exemplar of good middot: Unfailingly relate to students and colleagues with a warm, caring, and approachable demeanor. When questions or conflicts arise, you’ll approach them with energy and a commitment to working out solutions together with others - and will consistently try to take up others’ perspectives.
• Collaborate with the Hillel team: Join the student-facing programming team, collaborating closely with colleagues to plan and execute programs. All staff share responsibility for student engagement and bringing ideas to fruition, making their differences into points of connection and mutual appreciation. The Orthodox Rabbi reports to the Senior Director of Student Life and Executive Director and partners with the broader team to advance shared goals.
• Partner beyond Harvard: Serve as Harvard Hillel’s liaison to the Orthodox Minyan at Harvard Hillel, supporting scheduling, financial coordination, and student participation in the broader Cambridge Orthodox community. Maintain relationships with Jewish day schools and other pipelines to attract prospective students.

What You’ll Bring to the Job

• A commitment to and passion for creating Jewish community and inspiring students to grow in Torah, shmirat mitzvot, and participation in Jewish life.
• Appreciation for the value of a broader pluralistic Jewish community, and a desire to build bridges with other Jews.
• A warm, engaging, and approachable personality. 
• Experience in engagement and building meaningful pastoral relationships
• Facility in program design and implementation. 
• Relevant work experience in experiential Jewish education within Orthodox communities, Hillel, youth movements, or camp.
• A talmid hakham with strong textual knowledge and fluency, demonstrating deep familiarity with Torah, from traditional texts to contemporary Jewish wisdom, and the ability to engage students in the tradition of Jewish learning through learner centered pedagogy.
• Facility leading complex conversations that are intellectually serious and personally sensitive.
• A warm and welcoming home in which to host Shabbat experiences.
• Confidence initiating, running, and evaluating programs.
• A deep personal concern for the success of this work.
• A willingness to admit what you don’t know and excitement to learn in those areas
• Creative problem-solving, proactive communication, and the capacity to collaborate in teams both inside and outside of Hillel.
• Curiosity about… everything. You are hungry to learn and ask insightful questions before offering solutions. In this community, we are all learners, even the educators among us.
• Membership in good standing in a rabbinic alumni association with established ethical guidelines.
• BA and Orthodox rabbinic ordination.

What You’ll Receive

• Competitive salary range of $100,000-$110,000 for 10 months a year of employment.
• A network of students, parents, and university partners who will inspire you and become lifelong professional resources and partners.
• Opportunities for professional development, mentoring, and Jewish study.
• Colleagues and support from across the Hillel movement.
• Travel opportunities, both domestic and international.
• Stipends for Shabbat hosting experiences.
• A comprehensive benefits package, including health insurance, Tax Deferred Retirement Plan, Life, AD&D, and Long Term Disability insurances, Flexible Spending Plan, generous vacation/sick time, and parental leave.
• Plenty of Hillel and university swag.

About Harvard Hillel

Harvard Hillel is the Jewish center of the world’s greatest university. Home to 500 Jewish undergraduates and 1,800 Jewish graduate students, Harvard Hillel’s mission is to train a generation of Jewish students to lead a divided Jewish community in an uncertain future - by helping mentoring them as they create an inspiring, life-shaping community of meaning with and for one another during their years as students. Cambridge, Massachusetts is a rapidly growing observant Jewish community with synagogues, independent minyanim, an eruv, kosher restaurants, and hundreds of observant Jews. Students, young professionals, young couples, and families call "Camberville" home. We also have many Jewish resources including mikva’ot across the river in Brookline, Brighton, and Newton.

Harvard Hillel is affiliated with Hillel International. Hillel International enriches the lives of Jewish students so they may enrich the Jewish people and the world, and envisions a world where every student is inspired to make an enduring commitment to Jewish life, learning and Israel.

ABOUT VEG

In 2014, VEG was born with a mission to help people and their pets when they need it most. This meant challenging the status quo and fixing everything that was wrong with the ER experience. Since then, we’ve expanded rapidly, with hospitals nationwide open 24/7, 365 days a year, and created a better emergency experience—not only for people and their pets, but also for everyone who works here—our VEGgies!

At VEG we find a way to say yes to the career you want in veterinary emergency medicine. This means transforming how ER works, from our open-concept hospitals, where you can handle emergency cases of every kind (even exotics!) to our immersive, customer-focused experience, which helps us give people and their pets the care they deserve.

This also means saying yes to creating the greatest experience possible for our VEGgies. Yes to working in an environment where you can find your place and feel valued for the amazing work you do. Yes to having unparalleled opportunities for learning and mentorship so you can grow where you want to go in your career. And yes to making an impact here in ways you never thought possible.

VEG is a 2025 and 2026 certified Great Place to Work®.

THE JOB

As a Nursing Trainer, you have one of the most meaningful jobs at VEG: helping others grow. You’ll lead with curiosity, coach with compassion, and obsess over development. You’re not just building skills—you’re building confidence, momentum, and careers in emergency medicine. Whether you’re working 1:1 on the floor, guiding peer-led sessions, or developing educational tools, your impact will be felt hospital-wide. You’ll tailor training to every learning style, celebrate every milestone, and say yes to every VEGgie who is ready to take the next step. Your work helps make VEG a place where people learn, lead, and love what they do.

WHAT YOU’LL DO

• Partner with leadership to identify individual and team training needs
• Assess assistants and credentialed technicians through direct observation and real-time immersion
• Drive advancement through VEG’s Cultivate program
• Implement VEG training programs and serve as the go-to training lead at your hospital
• Split your time between on-the-floor mentoring and strategic development
• Provide tailored, hands-on training for all learning styles and skill levels with patience and understanding
• Organize peer training opportunities and build a strong mentoring culture
• Collaborate with nursing managers and professional networks to broaden impact
• Develop and refine training content (i.e. presentations, videos, simulations, and assessments)
• Ensure all training aligns with VEG’s culture, mission, and emergency standards of care
• Continually evaluate and improve leveling programs for assistants and technicians

WHAT YOU NEED

• High school diploma or equivalent required; associate’s degree or higher in veterinary technology from an AVMA accredited program strongly preferred
• Credentialed as a veterinary technician (CVT, RVT, LVT, LVMT) in the state the VEG practice is located; VTS in ECC, internal medicine, or anesthesia/analgesia a plus and will lead to extra considerations in compensation
• High level of knowledge and skill in emergency medicine 
• Previous training experience preferred
• A relentless passion for teaching and uplifting others
• An ownership mindset around your team’s growth and development
• Strong communicator and collaborator across teams
• Excitement about VEG’s culture and mission, with a desire to lead by example
• Willingness to travel to other VEG hospitals in your region to help with new veterinarian onboarding as needed
• Must be willing to work in a noisy environment with strong or unpleasant odors.
• Availability to work nights, weekends, and holidays on a rotating or as needed basis based on hospital needs
• Work well in a fast-paced environment with people from all backgrounds and different personality types

WHO YOU ARE

• Empathetic, instinctively taking a people-centric approach, whether supporting your colleagues or making an effort to understand different perspectives
• Have a sense of humility; acknowledging mistakes, sharing credit with others, and lifting up your team’s’ accomplishments
• Feel a strong sense of ownership over your work, taking responsibility for outcomes and staying committed to achieving long-term, impactful results 
• Curious by nature; you ask insightful questions and continuously seek out opportunities to learn and grow your skills and knowledge

HOW WE INVEST IN YOU

• Competitive compensation, including base and 401K match
• Comprehensive health and wellness benefits that start on day one, including medical, dental, and vision coverage, QPR training, and access to free therapy or counseling
• Depending on your role, you may be eligible for equity after one year of full time, active employment with VEG, so you can share in our growth and success
• A BIG focus on learning and growth, from VEG-created clinical and leadership programs to unlimited ER CE + travel stipend (no really!). Full-time credentialed VEGgies receive a $2,500/year travel stipend. Full-time uncredentialed VEGgies receive a $1,000/year travel stipend.
• Clinical student loan repayment so you don’t need to worry about your student debt
• Paid parental leave; up to 12 weeks at 100% of regular salary and inclusive fertility and family-building care for all types of families
• Flexible work schedules to support your life outside of work
• Generous employee referral program, so our awesome people can bring in more awesome people
• And the little (big) things, like comfy scrubs, cool VEG swag, and food in the fridge for when you’re hungry

DEI

At VEG, diversity is not just a word—it's a strength that fuels innovation and kindness. Our mission is “Helping people and their pets when they need it most.” And we do that better when our VEGgies (employees) feel valued, respected, and empowered to bring their authentic selves to work. That's why we're devoted to creating an environment that reflects the diverse communities we serve—where different perspectives are not only welcomed but celebrated.

We are focused on providing equitable opportunities for growth, promoting inclusive decision-making, and ensuring that everyone's perspective is considered. Saying yes to VEG means helping us build a culture where your unique experiences and background contribute to a shared vision: being the world’s veterinary emergency company.

Your Impact at LILA

The AI Research team is tackling one of the most exciting, open problems in AI: training LLMs to run long-horizon scientific discovery tasks. Our approach spans the full post-training stack - from SFT to asynchronous RL on agentic harnesses - teaching models to plan, use tools, and learn from experience in domains where the ground truth isn't a preference label, but a scientific result.

We're rapidly growing our Research Engineering org and seeking talented engineers and ML practitioners across levels to design, build, and optimize systems to push this frontier: scaling post-training, sharpening reasoning, and unlocking compute-intensive agentic-harness training. This is a rare chance to join an early team with the autonomy, flexibility, and compute to tackle frontier science problems.

We operate with high agency, and a bias toward execution. Below are several focus areas within the team. We ask that candidates select the stream that best matches their experience and excitement.

Work Streams

Stream A: GPU Optimization & Training Performance

Maximize hardware utilization across 100B+ parameter asynchronous RL training runs. Responsibilities include profiling, performance optimization, custom kernel development, communication-computation overlap, and long-context throughput improvements. You set and maintain the performance baseline.

Stream B: Stack & Infrastructure

Own the post-training infrastructure end-to-end — supervised fine-tuning, asynchronous RL with tool integration, and data pipelines. Build modular, reproducible workflows with single-command execution. Manage upstream framework upgrades and deliver composable pipelines spanning Data, SFT, and RL stages. You work tightly with Research Scientists to develop and productionize novel algorithms to run at scale.

Stream C: Model Experimentation

Bring deep, hands-on experience training large language models. Lead experimentation on reasoning model development, including mixture-of-experts stabilization, curriculum design, and synthetic reasoning trace generation. You have a bias toward experimental design and tracking, and know how to prioritize runs that yield promising outcomes.

Stream D: Evaluations & Benchmarks

Design and build best-in-class scientific agentic benchmarks and harnesses, along with the dashboards and leaderboards that inform every training decision. You have experience working with well known public benchmarks and have spent time building bespoke agentic benchmarks and harnesses.

Stream E: Agentic Capabilities & Frontier Research

Train models capable of planning, exploration, and tool use over extended horizons. Advance the state of the art in RL at scale with tool-calling, subgoal decomposition, and shared memory/skills across trials to expand the frontier of scientific agent capabilities.

What You'll Need to Succeed

• Strong software engineering skills in Python; C++/CUDA a plus
• Experience with distributed ML training frameworks (Megatron-LM, TorchTitan, DeepSpeed, Ray)
• Understanding of large-scale model training techniques for 100B+ models
• Experience with cloud or HPC environment
• Ability to communicate technical results to internal and external stakeholders

Bonus Points For

• Prior work with large scale scientific datasets or domain-specific modeling
• Contributions to open-source ML frameworks
• Experience with RL post-training (RLHF, GRPO, tool-augmented RL)
• Experience training MoE architectures

Location

San Francisco, CA or Cambridge, MA (Remote, Hybrid, and On-Site available depending on team needs).

ABOUT VEG

In 2014, VEG was born with a mission to help people and their pets when they need it most. This meant challenging the status quo and fixing everything that was wrong with the ER experience. Since then, we’ve expanded rapidly, with hospitals nationwide open 24/7, 365 days a year, and created a better emergency experience—not only for people and their pets, but also for everyone who works here—our VEGgies!

At VEG we find a way to say yes to the career you want in veterinary emergency medicine. This means transforming how ER works, from our open-concept hospitals, where you can handle emergency cases of every kind (even exotics!) to our immersive, customer-focused experience, which helps us give people and their pets the care they deserve.

This also means saying yes to creating the greatest experience possible for our VEGgies. Yes to working in an environment where you can find your place and feel valued for the amazing work you do. Yes to having unparalleled opportunities for learning and mentorship so you can grow where you want to go in your career. And yes to making an impact here in ways you never thought possible.

VEG is a 2025 and 2026 certified Great Place to Work®.

THE JOB 

As a Lead Emergency Veterinarian at VEG, beyond helping people and their pets, you’ll take ownership of supporting your team and ensuring that your hospital is a model of clinical excellence. Working alongside your hospital’s medical director, you’ll champion VEG’s medical processes and initiatives, developing your fellow doctors and coaching them to thrive. You’re well-versed in the VEG Spikes, our unique, customer-centered way of doing things—like ensuring people see a doctor right away and allowing families to stay with their pets—and you lead by example, ensuring your team practices the VEG way with every case. In this role, you’ll find ways to say yes to providing the guidance, resources, and encouragement your team needs to grow confidently in their careers. As a leader, you’ll have the opportunity to foster a culture of mentorship and learning, helping your doctors build fulfilling, unexpected career paths while creating a lasting impact on your hospital.

WHAT YOU’LL DO

• Work clinical shifts, with responsibilities consistent with emergency doctors at your VEG:
• Answer medical questions over the phone 
• See patients right away as part of the VEG Triage and VEG Spikes, our unique, customer-centered way of doing things—like ensuring people see a doctor right away and allowing families to stay with their pets 
• Complete a diagnosis of each pet's condition to create a diagnostic and therapeutic plan
• Communicate diagnosis and treatment options directly with customers
• Provide appropriate treatments to address each pet’s specific condition
• Create and review medical records to ensure accuracy
• Demonstrate the value of tests and treatments performed by speaking with the customer and addressing their concerns
• Coach fellow doctors on medical excellence, doctoring the VEG Way, and providing VEG’s customer-focused experience
• Support fellow doctors through their assigned growth and development plans 
• Assist Medical Director (MD) when coverage is needed due to callouts or schedule changes
• Work as interim MD when the current MD is on leave or opening a new VEG hospital 
• Lead monthly doctor meetings and M&M rounds with guidance from the MD
• Teaching hospitals only: If needed, own the New ER Doctor (NERD) training program and perform all NERD MD job duties.
• Create doctor schedules, including managing leave requests and posting schedules at least two months in advance
• Address customer complaints related to medical concerns. 

WHAT YOU NEED

• A DVM, VMD, or equivalent degree 
• 2+ years of ER experience and critical case management 
• One year leadership experience is preferred, but not required 
• Training in emergency surgery/endoscopy
• Flexible to work a combination of clinical and administrative shifts 
• Ensure top-tier customer satisfaction and hospital revenue production
• Willingness to lead and support fellow doctors, as well as perform administrative tasks during off hours (i.e. doctor callouts, addressing customer complaints, scheduling)
• Must be willing to work in a noisy environment with strong or unpleasant odors
• Availability to work nights, weekends, and holidays on a rotating or as needed basis based on hospital needs
• Work well in a fast-paced environment with people from all backgrounds and different personality types

WHO YOU ARE

• Empathetic, instinctively taking a people-centric approach, whether supporting your colleagues or making an effort to understand different perspectives
• Have a sense of humility; acknowledging mistakes, sharing credit with others, and lifting up your team’s’ accomplishments
• Feel a strong sense of ownership over your work, taking responsibility for outcomes and staying committed to achieving long-term, impactful results 
• Curious by nature; you ask insightful questions and continuously seek out opportunities to learn and grow your skills and knowledge

HOW WE INVEST IN YOU

• Competitive compensation, including base and 401K match
• Comprehensive health and wellness benefits that start on day one, including QPR training and access to free therapy or counseling
• Based on your role, you may be eligible for equity after one year of full time, active employment with VEG, so you can share in our growth and success
• A BIG focus on learning and growth, from VEG-created clinical and leadership programs to unlimited ER CE + travel stipend (no really!). Full-time credentialed VEGgies receive a $2,500/year travel stipend. Full-time uncredentialed VEGgies receive a $1,000/year travel stipend.
• Clinical student loan repayment so you don’t need to worry about your student debt
• Paid parental leave, up to 10 weeks at 100% of regular salary and inclusive fertility and family-building care for all types of families
• Flexible work schedules to support your life outside of work
• Generous employee referral program, so our awesome people can bring in more awesome people
• And the little (big) things, like comfy scrubs, cool VEG swag, and food in the fridge for when you’re hungry

DEI

At VEG, diversity is not just a word—it's a strength that fuels innovation and kindness. Our mission is “Helping people and their pets when they need it most.” And we do that better when our VEGgies (employees) feel valued, respected, and empowered to bring their authentic selves to work. That's why we're devoted to creating an environment that reflects the diverse communities we serve—where different perspectives are not only welcomed but celebrated.

We are focused on providing equitable opportunities for growth, promoting inclusive decision-making, and ensuring that everyone's perspective is considered. Saying yes to VEG means helping us build a culture where your unique experiences and background contribute to a shared vision: being the world’s veterinary emergency company.

The Principal Data Scientist is a senior individual contributor and technical leader on the Customer Analytics team. This role leads the development and delivery of customer-facing analytics and data science solutions, with a focus on scientific rigor, scalable implementation, and measurable business impact. 

The position partners closely with Customer Solutions, Data Engineering, and Customer Success to translate complex business challenges into production-grade analytics, machine learning, and AI capabilities that improve product outcomes and client value. 

CMT is looking for a Principal Data Scientist I, Customer Analytics to help us change the world. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility — understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT.

Responsibilities: 

• Serve as a technical lead with a deep understanding of modeling methods from underlying mathematics, to assumptions, tradeoffs, interpretability, and limitations to ensure results are robust and reliable. 
• Use independent judgment and discretion to frame ambiguous business and customer problems into well-defined data science problem statements, project plans, modeling approaches, and measurable success metrics 
• Develop and implement advanced statistical and machine learning models end-to-end, including data pipelines, feature engineering, model development, validation, deployment, and ongoing monitoring
• Partner with analysts to build reporting dashboards and data products that convert model outputs into clear, actionable insights for internal stakeholders and external clients 
• Complete any additional tasks as they arise 

Qualifications: 

• Bachelor’s degree or equivalent years of experience and/or certification in a related field 
• 7+ years of working experience in data science, machine learning, advanced analytics or AI-focused roles 
• Deep foundation in statistics, experimental design, and causal inference, including the ability to explain methodology choices and validate assumptions 
• Demonstrated experience deploying and maintaining models or analytical systems in production using CI/CD practices, including monitoring and performance management 
• Strong data science language in Python (required) and SQL 
• Familiarity with Databricks, MLflow, Spark, or similar modern data/ML platforms

Compensation and Benefits:

• Fair and competitive salary based on skills and experience, and annual performance bonus
• Equity may be awarded in the form of Restricted Stock Units (RSUs)
• Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave
• Unlimited Paid Time Off including vacation, sick days & public holidays
• Flexible scheduling and work from home policy depending on role and responsibilities

Base Salary Range

• The base salary range for this position is: $153,800 to $192,300. This range is specifically for Cambridge, MA

Additional Perks:

• Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world
• Join an industry leader — 65 million drivers protected, powering 140+ programs across 25 countries
• Be part of the team inventing the future of mobility and road safety
• Move fast, own outcomes, do work that matters
• High ownership, small teams, and direct access to leadership — no layers between your work and its impact
• Unlimited PTO, flexible scheduling, competitive salary, annual performance bonus, RSUs, and full benefits including medical, dental, vision, and 401k match
• Summer Fridays
• Join one of our employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness
• Comprehensive wellness, education, and employee assistance programs

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

About Cambridge Mobile Telematics:

Cambridge Mobile Telematics (CMT) is the world’s largest telematics and AI company for safer mobility. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell Fusion®, proactively identifies and reduces driving risk, leading to fewer crashes and injuries. To date, CMT’s technology has helped prevent over 126,000 crashes worldwide. CMT enables partners to measure risk, detect crashes, provide life-saving assistance, and streamline claims. Headquartered in Cambridge, MA, CMT operates globally with offices in Budapest, Hungary; Chennai, India; Seattle, Washington; Tokyo, Japan; and Zagreb, Croatia. Learn more at www.cmt.ai.

Company Overview:

PhaseV (HQ in Boston, R&D in Tel Aviv) is a cutting-edge startup, pushing innovation in the drug development process to bring new treatments to more patients, in a more efficient and precise way. Leveraging the power of advanced causal inference and pushing the boundaries of machine learning, PhaseV detects hidden signals in clinical data and extracts actionable insights for planning the optimal trial. The company's proprietary ML-based platform for adaptive clinical trial design and closed-loop execution enables sponsors to easily and quickly unlock the potential of adaptive clinical trials, reveal the optimal adaptive design to meet their trial objectives and execute more efficient, more precise, and more successful clinical trials. Collaborating with 7 of the top pharmaceutical companies, as well as multiple CROs and biotechs, we are poised to make a significant impact on how drugs are developed and brought to market.

Position Overview:

We are seeking a talented Data Scientist to join our team of researchers. The ideal candidate will have a strong foundation in machine learning and statistics with an interest in causal inference. A couple of recent preprints we’ve released to get a sense of the challenges:

• Causal Responder Detection (https://arxiv.org/abs/2406.17571)
• Robust CATE Estimation Using Novel Ensemble Methods. (https://arxiv.org/abs/2407.03690)

Key Responsibilities:

Technical Development:

• Implement and optimize ML algorithms, with a focus on causal ML applications in clinical trials
• Collaborate with senior data scientists to develop and improve our analytical platforms
• Work alongside clinical and biological experts to translate complex problems into technical solutions

Research & Analysis:

• Conduct rigorous statistical analyses of both randomized and observational data
• Develop and validate methods for responder identification and treatment effect estimation
• Document and present methodologies and results for internal and external stakeholders

Collaboration:

• Work cross-functionally with engineering and product teams
• Contribute to technical discussions and peer code reviews
• Support the preparation of technical documentation and research papers

Qualifications:

Education:

• Master's in Computer Science, Statistics, Data Science, Engineering or a related field
• Ph.D. is an advantage but not required

Experience:

• 3+ years of experience in data science or machine learning roles
• Experience with ML in a practical research or industry setting
• Background in statistical modeling and analysis

Skills:

• Strong programming skills in Python (R in addition - an advantage)
• Proficiency in statistical analysis and machine learning
• Experience with data visualization and communication of technical concepts
• Strong analytical and problem-solving skills

Preferred:

• Familiarity with causal inference concepts
• Experience in healthcare or biotech industry
• Experience with large-scale data processing

What We Offer:

• Join us on a mission to bring more effective drugs to more patients.
• The opportunity to work with an amazing team passionate about making a real-world impact.
• Extremely hard and diverse problem setting, in which the team is pushing the envelope.
• A collaborative and dynamic startup environment.
• Professional growth and development opportunities.

Flagship Pioneering is a scientific innovation engine 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 in human health, sustainability, and beyond. 

What sets Flagship apart is our ability to advance biotechnology by uniting life science innovation, company creation, and capital investment under one roof in a way that is largely without precedent. Our team of scientists, entrepreneurial leaders, and professional capital managers are each aligned around an institutionalized process that enables us to innovate and create breakthroughs 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 named four times to Fast Company’s annual list of the World’s Most Innovative Companies.

Position Overview

Flagship Pioneering is seeking an experienced and strategic Vice President or Senior Vice President, Total Rewards and People Operations to lead the design, management, and evolution of Total Rewards programs and key people infrastructure across our ecosystem. The scope of this role spans compensation, executive compensation, equity, benefits, people operations, and people analytics for Flagship and its portfolio of companies.

This is a highly visible leadership role requiring deep expertise in compensation strategy and private-company equity, as well as the ability to operate effectively across a complex, fast-paced, and highly matrixed environment. The ideal candidate will bring strong executive presence, sound judgment, and the ability to translate business strategy into scalable people programs that support growth, innovation, and organizational effectiveness.

This leader will oversee an established team across Compensation, Benefits, People Operations, and People Analytics, and will be expected to shape a modern, market-relevant Total Rewards philosophy, refine equity and incentive structures, advance benefits strategy, and drive people insights that support executive decision-making.

Key Responsibilities

Total Rewards Strategy and Leadership

• Lead the strategy, design, and ongoing evolution of Flagship’s global Total Rewards philosophy across compensation, executive compensation, equity, benefits, and other reward programs. 
• Serve as the principal architect of rewards strategy, recommending program direction to senior leadership and ensuring alignment with business priorities, talent strategy, and financial objectives. 
• Develop and refine salary structures, incentive frameworks, equity guidelines, and market positioning approaches across a global footprint. 
• Oversee job architecture and leveling governance in support of internal equity, talent management, and scalable compensation decision-making. 
• Guide annual compensation planning processes, including merit, bonus, promotion, and other pay actions, in partnership with HR, Finance, and business leadership. 
• Partner closely with Talent Acquisition and HR Business Partners on executive and broad-based offer strategy, market competitiveness, and internal equity. 
• Lead the continued evolution of executive compensation and broad-based equity strategy across Flagship and applicable portfolio companies. 

Equity and Incentive Design

• Provide strategic leadership for complex equity and long-term incentive programs, including private-company equity structures and alternative long-term incentive constructs. 
• Oversee equity strategy, governance, and operational execution through the team, ensuring strong program design and scalable administration. 
• Partner with senior leadership on the design and refinement of incentive and ownership frameworks that support attraction, retention, and long-term value creation. 
• Bring familiarity with innovative and non-traditional compensation approaches, including profits interests, carried interest, and related long-term incentive structures. 

Benefits Strategy

• Lead benefits strategy across health and welfare, retirement, leave, and ancillary programs, ensuring programs remain competitive, sustainable, and aligned with organizational values and workforce needs. 
• Partner with the Benefits leader and external advisors to evaluate plan design, funding, market trends, vendor performance, and evolving regulatory requirements. 
• Support harmonization and modernization of benefits strategy where appropriate across a diverse and growing ecosystem. 

People Operations

• Oversee key People Operations functions, including onboarding, offboarding, employee lifecycle processes, policy administration, compliance workflows, service delivery, and operational process excellence. 
• Ensure people processes are scalable, well-governed, and designed to support a high-quality employee and manager experience. 
• Partner effectively across HR, Payroll, IT, Legal, and Finance to improve operational efficiency and strengthen people-related infrastructure. 
• Provide leadership on HR compliance, as well as compensation- and benefits-related compliance considerations, in partnership with internal and external experts as appropriate. 

People Analytics

• Lead the People Analytics agenda, with an emphasis on generating insights that support executive decision-making across workforce planning, hiring, retention, compensation, and organizational effectiveness. 
• Oversee dashboards, reporting, and analytical frameworks that inform leaders including the CEO and CFO. 
• Translate data and analysis into actionable recommendations in partnership with HR Business Partners and business leaders. 
• Advance a thoughtful, increasingly sophisticated analytics capability that supports better people decisions across Flagship and the broader ecosystem. 

Portfolio Company Partnership

• Advise and support portfolio company leaders on Total Rewards strategy, with involvement calibrated to company stage, maturity, and business need. 
• Tailor rewards frameworks and guidance for a range of company stages while maintaining sound governance and alignment with broader talent and value creation goals. 
• Present recommendations and insights to portfolio company leadership and boards as needed. 

Leadership and Team Development

• Lead, develop, and inspire a multi-functional team spanning Compensation, Benefits, People Operations, and People Analytics. 
• Foster strong collaboration across functional teams and help continue building a high-performing, service-oriented, and strategically focused organization.
• Manage external consultants, brokers, survey providers, and other key vendors in support of rewards strategy and operational excellence. 

Qualifications

• 15+ years of progressive experience in Total Rewards, with significant depth in compensation strategy and experience leading broad, multi-functional teams. 
• Deep expertise in compensation design, market benchmarking, executive compensation, incentive strategy, and private-company equity. 
• Strong familiarity with alternative long-term incentive structures, including profits interests, carried interest, and other innovative ownership or reward constructs. 
• Experience leading or advising on benefits strategy, including health and welfare, retirement, leave, and ancillary offerings. 
• Experience overseeing or partnering closely with People Operations and People Analytics functions in complex organizations. 
• Demonstrated success operating in high-growth, founder-led, venture-backed, private equity, or similarly dynamic business environments. 
• Experience supporting global workforces and navigating matrixed organizations with multiple stakeholders and business models. 
• Strong executive presence with the ability to influence senior leaders, present compelling recommendations, and operate as a trusted advisor. 
• Proven ability to translate data and market insights into practical, business-relevant decisions and action plans. 
• Experience working with boards, founders, and senior executive stakeholders preferred. 
• Prior life sciences or biotechnology experience preferred, but not required. 

Why Join Flagship Pioneering?

This is a rare opportunity to play a critical role in shaping how a highly innovative organization rewards, supports, and scales exceptional talent. As Senior Vice President, Total Rewards and People Operations, you will operate at the intersection of business strategy, organizational design, and cutting-edge science, helping to build and evolve the people infrastructure that supports transformative work in human health and sustainability.

At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.

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-NM1

The salary range for this role is $300,000 - $400,000. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Flagship Pioneering currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Flagship Pioneering's good faith estimate as of the date of publication and may be modified in the future.

Your Impact at LILA

Lila is seeking a dedicated and skilled Research Associate, Protein Sciences to join our high through-put Cell-Free Expression platform. As a Research Associate, you will play a vital role in our interdisciplinary research efforts focused on building and automating artificial intelligence-driven processes across a variety of valuable applications.

What You'll Be Building

• Development and refinement of cell-free expression systems for efficient protein synthesis.
• Optimize conditions for high-yield and high-quality protein production
• Prepare media and solutions for cell culture and processing
• Perform molecular cloning, mutagenesis, and other genetic manipulation for strain development.
• Demonstrate proficiency in operating and utilizing liquid handlers and robotic systems for automated laboratory processes.
• Collaborate with biologists, machine learning scientists, software developers, and other engineers to develop and optimize AI-driven processes.
• Track and maintain excellent data records in formats amenable to computational workflows.
• Analyze and interpret experimental data, prepare technical reports, and present findings to internal teams and stakeholders.

What You’ll Need to Succeed

• A bachelor's or master's degree in biochemistry, molecular biology, biotechnology, biological engineering, chemical engineering, or a related field.
• 1-3 years of laboratory experience
• Experience with cell culture techniques, including growth, maintenance, and transformation, across a variety of cell lines
• Familiarity with plate-based assays
• Excellent attention to detail, organization, and communication

Bonus Points For

• Skilled in cloning, expression and optimization of protein
• Data analysis using relevant software (Python, R, or similar)
• Scripting for automation platforms