Paperless Parts provides the manufacturing industry with a SaaS platform that empowers the next generation of manufacturers to join the digital age. When manufacturers use our product, they free up valuable time for faster quoting and estimating, leading to increased profitability and reduced manual steps. From life-saving medical devices to critical components that unlock new depths of outer space, our customers produce parts that go into some of the world’s coolest and most impactful products. It is our mission to enable manufacturers with the technology they need to drive innovation forward.

We are a team of motivated and hardworking creators and doers. If you’re looking to have a direct impact on a Series B fast-scaling company that is revolutionizing an essential industry, read on and apply!

This is a full-time hybrid position based in Boston, MA.

This position requires activities that are subject to US Export Control Laws and require US Citizenship or Green Card Holder.

About the Role 

Step into the role of Principal Software Engineer and serve as a technical force multiplier for our engineering organization. In this high-leverage position, you will look beyond the immediate roadmap to define the architectural vision that will support Paperless Parts for years to come. You will bridge the gap between business strategy and technical execution, ensuring our systems are robust, scalable, and AI-ready.

This role is a powerful catalyst for change and innovation. You will be responsible for modernizing our engineering practices—integrating AI agents into the development lifecycle, driving the evolution from monolithic to a service architecture, and mentoring our engineers to become the next generation of leaders.

Who You Are

• Technical Visionary & Pragmatist: You have a proven track record of evolving complex architectures in scale-up environments. You balance the pursuit of "technical purity" with business reality, making hard trade-offs with incomplete information.
• Force Multiplier: You don't just write great code; you make the entire team better. You are passionate about mentorship and teaching others effective patterns for design, review, and agentic coding.
• AI Pioneer: You think strategically about how AI agents and workflows can fundamentally change how we build software. You believe that "what is good for humans is good for AI," championing standards that serve both.
• Business Partner: You understand that technical debt is a business risk. You can translate complex infrastructure needs into tangible business value (ROI, reliability, speed) to help leadership prioritize effectively.

Why You'll Love Working Here

• Architectural Authority: You will lead the design of our most critical systems, making high-stakes decisions on migrating to distributed architectures and defining our data strategy.
• Optimizing the AI-Native Workflow: You will have the freedom to operationalize AI at scale—implementing agents for ticket resolution, automated reviews, and documentation—driving significant improvements in modern engineering efficiency.
• High-Impact Work: Our software is used in mission-critical industries like aerospace and defense. The reliability and performance standards you set directly impact the production of life-saving and critical components.
• Culture of Excellence: You will help establish a culture of deep observability and operational maturity, leading the charge on incident management and blameless postmortems.

What You'll Do

• Architect & Evolve: Lead the technical strategy for migrating legacy monolithic patterns to scalable, service architectures. You will define the long-term vision for our backend systems, APIs, and cloud infrastructure.
• Operationalize AI Development: Drive the adoption and continuous improvement of AI-assisted workflows (using tools like Cursor and Claude Code). You will champion the strategic integration of AI agents to enhance autonomous task execution and leverage AI throughout the software life cycle.
• Drive Operational Maturity: Instill a strong focus on reliability and site operations across the team. You will lead initiatives to improve observability (logging, monitoring), define clear runbooks, and facilitate postmortems that turn incidents into structural improvements.
• Elevate Engineering Standards: Enforce "context-first" engineering. You will champion the creation of Architectural Decision Records (ADRs) and high-quality documentation, ensuring our codebase provides the explicit context needed for both human alignment and effective AI agent performance.
• Mentor & Lead: Act as a technical beacon, dedicating significant time (~20%) to pairing, design reviews, and mentoring engineers across different levels to elevate the team's collective skill set.
• Strategic Alignment: Collaborate with R&D leadership to prioritize technical initiatives. You will articulate the ROI of infrastructure investments and technical debt reduction in terms of customer reliability and business agility.

What You'll Bring

• 12+ years of experience in software engineering, with a strong background in architecting SaaS products at scale (start-up to scale-up transition experience preferred).
• Deep Architectural Expertise: Proven success decomposing monoliths and designing distributed systems, with strong judgment on build-vs-buy decisions and technology selection.
• Modern Stack Proficiency: Expert-level knowledge of modern web frameworks and databases, along with deep experience in AWS cloud-native patterns (containers, serverless).
• AI/LLM Fluency: Practical experience leveraging LLMs and AI agents in a production engineering workflow. You understand prompt engineering, context limits, and how to structure codebases for AI interpretability.
• Operational Rigor: A strong commitment to production reliability, with experience designing systems for observability and leading incident response processes.
• Communication Mastery: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and influence decisions without relying on authority.

Why Join Us?

• Impactful Work: Your contributions will power industries critical to our society and economy, making a real difference.
• Continuous Learning: We invest in our people and offer opportunities to learn, grow, and advance their careers.
• Supportive Culture: Our team is our greatest asset, and we foster an environment where everyone can thrive.

If you’re a forward-thinking engineer eager to make a significant impact while working with a talented, driven team, we’d love to hear from you!

Salary range:  $212,000 - $286,000

SimScale is an engineering simulation platform that is revolutionizing the way engineers, designers, scientists, and architects design products. The SimScale platform is accessible completely via a web browser, with an easy-to-use interface which supports numerous simulation types including Structural Mechanics, Fluid Dynamics and Thermodynamics.

By harnessing the power of the cloud for simulation, SimScale eliminates the hurdles that accompany traditional simulation tools: high installation costs, licensing fees, deployment of high-performance computing hardware, mandatory updates and maintenance. Users always have the latest version of SimScale.

Your Opportunity

As a Senior Enterprise Solution Engineer, you will be a key partner in building trusted relationships with prospective enterprise customers, driving simulation and AI adoption across North America. You will design solution architectures for 6- to 7-figure enterprise deals, write the SOWs, run the technical discovery, and own the proof-of-value through to technical close. Collaborating across teams, you will help develop webinars and workshops tailored to highlight the platform’s benefits for specific industry segments. You will also work closely with Product Management to align product development with high-value opportunities, ensuring customer success while supporting SimScale’s long-term growth.

What we expect from you 

• 8+ years in solution engineering, technical sales, or pre-sales architecture for enterprise CAE / CAD / PLM / ERP software
• Engineering degree or higher with specialization in CFD, FEA, or computational electromagnetics
• Documented track record of writing SOWs, scoping multi-month services engagements, and growing enterprise accounts past $250k ARR (please be ready to walk us through two examples)
• Has shipped at least one customer-facing workflow involving ML / AI applied to a CAE or simulation problem (surrogate models, generative design, physics-AI inference, AI co-pilots for engineers)
• Proven track record demonstrating simulation, PLM, or ERP software to executives, including running C-level conversations and translating technical capability into ROI
• Skilled and persuasive communicator, able to engage diverse audiences, build trust, and drive alignment
• Entrepreneurial, results-driven mindset with strong ownership, urgency, and accountability
• Collaborative and flexible team player with a big-picture perspective and cross-functional approach

What you can expect from us 

• Join a dedicated, supportive team with unlimited growth opportunities and leadership potential
• Make an impact quickly by sharing ideas and contributing to creative, goal-oriented projects
• Work in a diverse, inclusive environment with colleagues from over 35 countries
• Enjoy flexible hours and the freedom to work remotely from anywhere in the world
• Access comprehensive health coverage, retirement plans, paid time off, and wellness support
• Enjoy fresh office lunches or gift cards as a remote employee
• Stay active with subsidized gym memberships, sports meetups, and wellness programs
• Grow as a professional with online/offline learning, language courses, and tech talks
• Connect at team events, join support groups, and contribute to our ESG and DE&I initiatives
• Participate in fun team challenges and competitions for added excitement and team spirit
• This is a senior individual-contributor role. There is no people-management dimension at this level; the path to leadership exists at SimScale but is not part of this opening.
• Total compensation (OTE) range = $155-223k 

Diversity, Equity and Inclusion at SimScale

At SimScale, we look beyond borders and hire great talent from all parts of the world. With our team consisting of people from various backgrounds, we truly embrace diversity and encourage everyone to be themselves. We are unified by curiosity, dedication and our team spirit! As an equal opportunity employer, we acknowledge that our employees have different aspirations and career goals, and therefore are committed to create a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. A copy of SimScale's full recruiting guideline can be made available on request. Kindly let us know how you would like to be addressed and whether you have specific requirements for the interview. 

Role overview

CarGurus is transforming how the company operates by embedding AI into workflows across every function — product, engineering, revenue, finance, support. It’s a software engineering role where the domain is the entire business. You’ll work directly with teams across the org to understand how work actually gets done, identify where AI can change the unit of work or shift where judgment lives, and build the systems that make it real. Some of that is agent-based automation. Some of it is workflow redesign. All of it requires someone who can architect and ship production-quality software, not stitch together SaaS integrations. This is not a Salesforce developer, Boomi connector, or low-code/no-code position, nor is it an enterprise architect or ML model training role.

This is a small, high-autonomy team reporting to the Head of AI Solutions. You’ll have outsized influence on how a publicly traded company with ~$1B in revenue adopts AI — not as a pilot or a demo, but as a structural change in how the business runs. You will be successful here if you are a product-caliber engineer who finds internal workflow transformation genuinely interesting — not a consolation prize, but the most leveraged place to be right now. You’d rather build something real that 200 people use tomorrow than something polished that ships in 6 months.

What you'll do

• Design and build AI-powered workflows and agent-based systems that transform how teams operate across the company.
• Partner directly with stakeholders in revenue, product, engineering, finance, and operations to gather requirements, map existing workflows, and identify high-leverage opportunities for AI.
• Build end-to-end — from scoping and architecture through implementation and deployment. This team ships, it doesn’t hand off specs.
• Work with AI APIs and platforms (Anthropic/Claude, AWS Bedrock, and others) to build agentic systems, automation pipelines, and intelligent tooling.
• Operate across a messy, heterogeneous environment — AWS infrastructure, Salesforce, internal services — without waiting for everything to be clean before you start building.
• Help shape the technical strategy and standards for AI Solutions as a function.

What you'll bring

• 5+ years of relevant software engineering experience.
• Strong software engineering fundamentals — you’ve built and shipped production systems, not just prototypes.
• Proficiency in Python as the primary language for this work; comfort with additional languages is a plus.
• Experience designing APIs, services, and data pipelines. You think in systems, not scripts.
• AWS fluency — you’re comfortable working within AWS infrastructure and services.
• Hands-on experience building with LLM APIs, agent frameworks, or AI-powered applications — not just experimentation, but something that ran in production or was used by real people.
• Ability to operate with high autonomy. You’ll scope your own work, make architectural decisions, and own outcomes.
• Willingness to work across the full stack of a business — including systems like Salesforce that aren’t glamorous but are where the high-impact problems live.

Nice-to-haves:

• Experience with workflow orchestration or automation at scale.
• Familiarity with Salesforce APIs and integration patterns (not Salesforce administration).
• Background in recommendations, search, data science, or ML engineering.
• Experience working cross-functionally with non-technical stakeholders.

Position

Manifold Bio is seeking a talented Machine Learning Research Engineer to join our growing AI team. You will work closely with our research scientists to implement, scale, and optimize machine learning systems that power our de novo antibody design platform and advance our protein design capabilities. Your efforts will contribute to building production-ready ML infrastructure that enables breakthrough discoveries in protein therapeutics. You will be expected to take ownership of engineering challenges in our ML pipeline, from data processing and model training to deployment and monitoring, while collaborating closely with our research team to translate cutting-edge ideas into robust, scalable systems.

This is an on-site role and can be based in either Boston, Massachusetts or San Francisco, California. Please only apply if you reside in these cities or are open to relocate. 

Responsibilities

• Implement and optimize machine learning models for protein design
• Build and maintain scalable data processing pipelines for large-scale protein and molecular datasets
• Develop and deploy ML infrastructure for distributed training and inference across GPU clusters
• Collaborate with research scientists to translate experimental ML approaches into production-ready code
• Design and execute ML experiments with clear hypotheses and rigorous analysis
• Optimize model performance and computational efficiency for large-scale protein design tasks
• Build tools and utilities to support rapid prototyping and experimentation by the research team

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, Computational Biology, or related field
• 2+ years of hands-on experience with PyTorch and/or JAX for deep learning applications
• Strong proficiency in Python scientific computing stack (NumPy, Pandas, scikit-learn)
• Experience with distributed computing and GPU optimization techniques
• Familiarity with protein structure analysis, computational biology, or analogous problems in natural sciences
• Understanding of modern deep learning architectures and optimization techniques
• Experience implementing research papers or translating ML approaches to production systems
• Proficiency with version control (Git), testing frameworks, and software engineering best practices
• Strong problem-solving skills and ability to work independently on technical challenges
• Excellent written and verbal communication skills for cross-functional collaboration

Preferred Qualifications

• Experience training LLMs or diffusion generative models
• Knowledge of cloud computing platforms (AWS, GCP) and containerization (Docker, Kubernetes)
• Background in computational biology, bioinformatics, or structural biology
• Experience with large-scale data engineering and ETL pipelines
• Familiarity with MLOps practices and model deployment frameworks

This Role Might Be Perfect For You If

You are passionate about leveraging state of the art machine learning approaches to solve challenging disease areas

• You enjoy translating research ideas into high impact, productionized, scalable code
• You have rich AI/ML experience and are looking to pivot into biotech

If you're excited to build scalable ML systems that revolutionize protein therapeutic discovery, please reach out to careers@manifold.bio.

Base Salary Range: $140,000-225,000

This reflects the typical offer range for this role, based on experience, role scope, and internal equity. Final compensation decisions are made using a consistent leveling framework and consider the candidate’s experience, interview performance, and expected impact.

This role is eligible for:

• Annual performance-based target bonus
• Stock options
• Comprehensive medical, dental, and vision coverage
• 401(k) plan
• Flexible paid time off and holidays
• Perks including on-site gym, onsite lunch, and commuter support

Our compensation ranges are reviewed annually to ensure alignment with market trends and internal equity.

Company Summary:

FL106 Inc., is a privately held, early-stage biotechnology company focused on developing novel drug delivery modalities. FL106 is backed by Flagship Pioneering, bringing the vision and resources to guide FL106 from platform validation to real-world solutions that meaningfully improve patient care.

Position Summary:

We are seeking a passionate, creative, and self-driven (senior) scientist with expertise in computational protein design and state of the art AI/ML tooling for antibody and protein design to join our team. This candidate will pioneer the design of novel protein-based delivery modalities and collaborate with the experimental teams to test and iterate on computational designs. S/he will thrive in an entrepreneurial, fast-paced, and highly collaborative start-up environment, with the opportunity to work closely with Flagship Pioneering founders and become a leader in advancing FL106’s scientific platform and patient-focused mission.

Responsibilities:

• Drive the AI/ML computational protein design
• Engage with Pioneering Intelligence at Flagship to explore and implement novel ML models that benefit FL106 design principles
• Advance both antibody engineering and de novo antibody design pipelines
• Collaborate closely with the FL106 experimental scientists to test and iterate on constructs
• Engineer novel functionalities into protein scaffolds, leveraging structural modeling, rational design, and/or directed evolution
• Be abreast of the computational protein design field to advise design and strategic directions for protein engineering, implementing the latest technologies where necessary
• Contribute to strategic direction of the computational team at FL106, helping shape our design platform at the forefront of scientific innovation
• Identify and lead external research relationships with academic and commercial partners
• Report results to scientific team and Flagship Pioneering management

Key Qualifications:

• Ph.D. (with 2+ yrs of industry research experience) in computational protein design, protein biochemistry, computational biophysics, computational biology, physics, or related field
• Expertise in computational protein modeling and design, structural biology, and biophysics is required
• Deep expertise with ML tools for computational protein design such as AlphaFold, RosettaFold, ESMFold, ProteinMPNN, RFDiffusion, Chroma, IgFold, DeepAb, Parapredis is required
• Experience with antibody and/or nanobody modeling and design is strongly preferred.
• Knowledge of critical wet-lab techniques used in protein engineering such as phage display, SPR, ITC, CD-spectroscopy is preferred
• Strategic thinker, able to shift seamlessly between rigorous scientific details and high-level context and implications
• Instinctive team player with excellent communication skills and great attention to detail

About Flagship

Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in generation of over 500 patents, initiation of over 50 clinical trials for novel therapeutic agents and an aggregate value of more than $90 billion. 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. Learn more about Flagship at www.flagshippioneering.com.

Flagship Pioneering is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

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.

The salary range for this role is $115,000 - $258,500. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. FL108 currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on FL108's good faith estimate as of the date of publication and may be modified in the future.

Join InterSystems and help us build the next generation of the EMR. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance.  Choose InterSystems and make delivering innovative work part of your extraordinary career.

InterSystems is the place for someone looking for a challenging IT career and access to the kind of training, expertise and development tools that only a large company can offer. Our international reach also means you have the opportunity to be part of a truly global organization of smart, technically minded people.

InterSystems employs IT professionals as technical specialists to enhance the quality, performance and usability of innovative products that transform healthcare organizations. Apply your technical skills with cutting-edge tools and technologies to improve patient outcomes.

Work as a technical specialist embedded in a cross-functional agile development team focusing on product quality.

About the Product:

Healthcare organizations in 25 countries are making breakthroughs in patient care with TrakCare and IntelliCare, a unified healthcare information system that enables coordinated care within a hospital or across care settings throughout a region — facilitating a seamless patient journey.

Clinicians and administrators use TrakCare and IntelliCare to improve safety and outcomes, control costs by eliminating duplicate tests, reduce medication errors, expedite billing, maximize resource utilization, and achieve other strategic initiatives.

Built on InterSystems’ health informatics platform, HealthShare, TrakCare and IntelliCare create a consolidated view of each patient’s history, provide secure access to records at every point of care and on any Internet-connected device, enables interoperability with legacy and future applications, and perform analytics that provide real-time insights to drive fully informed actions.

Duties & Responsibilities:

The duties initially assigned include, but are not limited to:

• Develop, maintain, and implement AI validation methodologies and tools to validate non-deterministic AI-enabled applications in alignment with industry best practices.
• Define and standardize non-functional and structural testing strategies to validate application performance, security, and interoperability across various LLM.
• Collaborate with Agile teams in TrakCare and HealthShare to incorporate end-user needs and prioritize testing efforts to deliver work of high caliber.
• Research and maintain up-to-date industry knowledge and developments in the AI space.
• Evaluate and optimize LLM performance, including accuracy, safety, and hallucination detection.
• Identify, evaluate, document, and provide clear reporting of results for configuration testing and optimization.
• Lead the development of AI test strategies and detailed test plans for releases.
• Support QD teams with test design, execution, triage, and reporting practices.
• Perform system management tasks to support testing activities.
• Design and build custom tools for UI, API, and AI/ML validation.
• Provide governance across AI validation activities, operating with managerial and stakeholder oversight.
• Perform other duties as directed by the company from time to time.

Requirements:

• Tertiary qualification in Computer Science or related discipline.
• 3+ years professional experience.
• Comprehensive understanding of AI tools’ capabilities and limitations.
• A flexible and adaptable approach to learning and developing new methodology, technologies and software products.
• Possesses intellectual curiosity and have a collaborative and personable demeanor.
• Experience working with interdisciplinary teams.
• Good understanding of the SDLC and software testing principles.
• Qualifications and/or certifications in AI.
• Technical proficiency in multiple programming languages.
• System administration or DevOps experience is advantageous.

We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.

Join InterSystems and help us build the next generation of the EMR. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance.  Choose InterSystems, and make delivering innovative work part of your extraordinary career. 

InterSystems is the place for someone looking for a challenging IT career and access to the kind of training, expertise and development tools that only a large company can offer. Our international reach also means you have the opportunity to be part of a truly global organization of smart, technically-minded people. 

InterSystems employs IT professionals as technical specialists to enhance the quality, performance and usability of innovative products that transform healthcare organizations. Apply your technical skills with cutting-edge tools and technologies to improve patient outcomes. 

Work as a technical specialist embedded in a cross-functional agile development team focusing on product quality. Agile teams consist of developers and application specialists collectively responsible for all stages of product development from design to validation. 

About the Product: 

Healthcare organizations in 25 countries are making breakthroughs in patient care with TrakCare, a unified healthcare information system that enables coordinated care within a hospital or across care settings throughout a region — facilitating a seamless patient journey. 

Clinicians and administrators use TrakCare to improve safety and outcomes, control costs by eliminating duplicate tests, reduce medication errors, expedite billing, maximize resource utilization, and achieve other strategic initiatives. 

Built on InterSystems’ health informatics platform, HealthShare, TrakCare creates a consolidated view of each patient’s history, provides secure access to records at every point of care and on any Internet-connected device, enables interoperability with legacy and future applications, and performs analytics that provide real-time insights to drive fully-informed actions. 

 Duties & Responsibilities: 

The duties initially assigned include, but are not limited to: 

• Contribute as a technical specialist in a cross-functional Agile development team building and maintaining clinical software. 

• Develop non-functional and structural testing strategies to validate application performance, security, and interoperability. 

• Collaborate with other Agile teams on joint projects to advise and deliver work of high quality and caliber. 

• Identify, document and bring awareness to functional and non-functional issues in application from design through to validation. 

• Create and maintain a suite of automated regression test scripts for continuous integration systems. 

• System management tasks to support testing activities. 

• Design and build custom tools and scripts to support testing activities. 

• Other duties may be directed by the company from time to time. 

Requirements: 

• Tertiary qualification in IT or related discipline. 

• 5+ years professional IT experience. 

• Understands web development technologies. 

• Experience working with interdisciplinary teams. 

• A flexible and adaptable approach to learning new methodology, technologies and software products. 

• Good understanding of the SDLC and software testing principles. 

• Experience in testing AI is advantageous. 

• Qualifications and/or certifications in AI are advantageous. 

• Technical proficiency in at least 1 programming language is advantageous. 

• System administration or DevOps experience is advantageous. 

About the Role:

We are seeking a high-impact Machine Learning Developer/Engineer to join our integrated discovery team. In this role, you will be the algorithmic engine of our programs, developing and deploying state-of-the-art ML models to generate the quantitative predictions necessary to drive drug discovery. Beyond technical mastery, you will serve as a core scientific partner to medicinal chemists, computational chemists, and biologists, building models that move programs efficiently toward Go/No-Go decision points and candidate nomination.

Key Responsibilities:

• Implement algorithms for hit identification through virtual screening and other high throughput computational methods as part of a cross-functional team
• Adapt and implement cutting-edge ML architectures for co-folding to augment our extensive internal structural biology expertise and capabilities
• Design and deploy active learning frameworks that utilize experimental assay results to iteratively improve model performance and reduce the number of "Design-Make-Test-Analyze" cycles leveraging state-of-the-art de novo design, ADMET predictions, and affinity predictions

Required Qualifications:

• Ph.D. preferred in Computer Science, Machine Learning, Engineering or a related field, or BS/MS + seasoned experience
• Proven experience with protein-ligand co-folding algorithms (e.g., Boltz, AlphaFold, OpenFold, etc) and the ability to integrate these structural insights into broader ML discovery pipelines.
• Advanced proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow) is required. You must be capable of building and maintaining production-quality code and data pipelines.
• Exceptional ability to communicate the "why" behind a design to a diverse scientific audience.

Preferred Qualifications:

• Expert-level knowledge of deep learning frameworks, specifically for affinity prediction, ADMET modeling, and the application of LLMs in a biological or chemical context
• Expertise fine-tuning existing models with internally generated structural biology and biology data
• Experience deploying ML/AI algorithms for use by a cross-functional scientific audience
• 1-4+ years of experience in a biotech or pharma setting

Skills & Competencies:

• A demonstrated track record of innovation in the ML/AI space, including developing and validating new architectures or novel applications of existing models to solve complex drug discovery problems including tools for hit identification (virtual screening, HTS)
• Expert level use of protein-ligand co-folding algorithms to small molecule drug discovery ML/AI tools (AlphaFold, Boltz, OpenFold)   
• Experience writing production-level code for ML tasks:
•  Knowledge of key scientific packages (RDKit, scikit-learn, numpy, pandas, pytorch, deepchem, polars, PyG/DGL):
• Write robust, testable, and version-controlled code that adheres to CI/CD and data governance best practices.
• Value clarity, documentation, and structured thinking, especially when working with complex data
• Knowledge of containerization technologies (Docker, Kubernetes) and cloud deployment at scale