Lead Machine Learning Engineer Visa Sponsorship Jobs in Massachusetts
Lead machine learning engineer jobs in Massachusetts are concentrated in Greater Boston, where companies like Amazon, Microsoft, Wayfair, and HubSpot maintain large AI research and applied ML teams. The Cambridge-Boston corridor, anchored by MIT and Harvard, draws significant ML engineering investment. Employers in this state routinely file for H-1B visa and other work visas to hire for these senior-level roles.
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Job title: Senior Principal Data Scientist, Agentic AI
- Location: Waltham, MA
About the job
As Agentic AI Senior Principal Scientist within our Vaccines R&D Data and Computational Sciences (DCS) organization, you’ll define and execute the Agentic AI strategy for computational design across Sanofi's entire vaccine development portfolio. Ready to get started?
Join the team protecting half a billion lives every year with next-gen science, mRNA innovation, and AI-driven breakthroughs. In Vaccines, you'll help advance prevention on a global scale - and shape the future of immunization. Join the engine of Sanofi's mission — where deep immunoscience meets bold, AI-powered research. In R&D, you'll drive breakthroughs that could turn the impossible into possible for millions. You'll serve as a scientific leader and cross-functional collaborator responsible for implementing agentic AI workflows across four capability areas: bioinformatics, nucleic acid design, protein AI models, and viral strain surveillance supporting also the build of AI agents for Translational Data Science workflows. This role sits at the intersection of cutting-edge science, advanced technology, and strategic leadership.
Join the team protecting half a billion lives every year with next-gen science, mRNA innovation, and AI driven breakthroughs. In Vaccines, you’ll help advance prevention on a global scale - and shape the future of immunization.
About Sanofi:
We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.
About You
Minimum Qualifications:
- Masters in Computational Biology, Bioinformatics, Structural Biology, Computer Science, or a closely related quantitative discipline with 5+ years of experience in drug development, molecular design, computational biology, or a related quantitative field within pharmaceutical, biotech, or technology environments
OR
- PhD in Computational Biology, Bioinformatics, Structural Biology, Computer Science, or a closely related quantitative discipline with 3+ years of experience in drug development, molecular design, computational biology, or a related quantitative field within pharmaceutical, biotech, or technology environments.
- 3+ years of demonstrated track record of scientific contribution or R&D work
Preferred Qualifications:
Technical Skills
- Deep expertise spanning at least two domains: bioinformatics and genomics, nucleic acid sequence design, or protein structure prediction and design
- Experience developing, productionizing, and deploying AI and machine learning models applied to molecular property prediction
- Demonstrated experience with autonomous AI systems, large language models, or AI agents applied to scientific research or drug discovery workflows
- Fluency in scientific computing (Python, R) and familiarity with cloud-based computational infrastructure (AWS, Azure, or GCP)
- Fluent in English; French is a plus
- Postdoctoral training
Soft Skills
- Strong strategic thinking and business acumen, with ability to translate scientific vision into executable roadmaps and communicate priorities to stakeholders
- Exceptional cross-functional collaboration skills with experience at the interface of R&D, digital, and CMC functions
- Outstanding communication, presentation, and scientific writing skills with ability to distill complex computational concepts for diverse audiences including non-technical executives
Main responsibilities:
- Define and execute Vaccines R&D agentic AI strategy — Implement and lead the adoption of agentic AI workflows across four capability areas: bioinformatics, nucleic acid design, protein AI models, and viral strain surveillance
- Leverage and contribute to Sanofi's enterprise AI infrastructure — Champion the development and deployment of AI and machine learning methods, including autonomous AI agents, multi-step reasoning systems, and large language model workflows to accelerate computational design processes
- Collaborate across functions — Drive cross-functional collaboration with R&D, Digital, CMC, and Clinical teams to ensure computational design outputs are actionable, integrated, and aligned with downstream development needs
- Define and adopt best practices for agentic AI — Establish and enforce best practices for code generation, software engineering, data governance, model validation, and reproducibility across all computational workflows
- Pioneer AI-assisted workflows — explore autonomous workflows for scientific computing, data analysis, and application development; build internal capabilities that can be industrialized and scaled across Research, CMC, Translational and Clinical contexts.
- Harmonize organization-wide agentic AI practices — build a community of agentic AI experts to implement best practices across the broader DCS organization; mentor scientists in adopting AI-assisted workflows for their R&D activities.
Why choose us?
Bring the miracles of science to life alongside a supportive, future focused team.
Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.
Work at the forefront of AI-driven research, smart manufacturing, and groundbreaking mRNA platforms that are redefining the future of immunology.
Help protect half a billion people every year, contributing to one of the largest global vaccination efforts in healthcare.
Develop your career with access to mentoring, international mobility programs, and opportunities to grow across four continents.
Sanofi Inc. and its U.S. affiliates are Equal Opportunity employers committed to a culturally inclusive workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.
Lead Machine Learning Engineer Job Roles in Massachusetts
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Search Lead Machine Learning Engineer Jobs in MassachusettsLead Machine Learning Engineer Jobs in Massachusetts: Frequently Asked Questions
Which companies in Massachusetts sponsor visas for lead machine learning engineers?
Major sponsors for lead machine learning engineer roles in Massachusetts include Amazon, Microsoft, Wayfair, Biogen, Liberty Mutual, and HubSpot, all of which have filed Labor Condition Applications for senior ML positions. Boston-area AI startups and biotech firms also sponsor regularly. OFLC public disclosure data shows consistent LCA filing activity from both large tech employers and research-intensive healthcare and finance companies in the state.
What visa types are available for lead machine learning engineers in Massachusetts?
Lead machine learning engineer roles qualify as specialty occupations, making the H-1B the most common visa path. The E-3 visa is available to Australian nationals, and the H-1B1 visa covers Chilean and Singaporean citizens. Canadian and Mexican nationals may qualify under TN visa status as engineers under USMCA, provided their degree aligns with the engineering profession. Those already in F-1 OPT or STEM OPT can work for sponsoring employers while a longer-term petition is filed.
Which cities in Massachusetts have the most lead machine learning engineer sponsorship jobs?
Boston and Cambridge account for the large majority of lead machine learning engineer sponsorship activity in Massachusetts, driven by proximity to MIT, Harvard, and a dense cluster of tech, biotech, and financial services firms. Somerville, Waltham, and Burlington also host significant AI and ML engineering teams. Companies in the Route 128 technology corridor, including established enterprises and growth-stage startups, file LCAs for senior ML roles with notable regularity.
How to find lead machine learning engineer visa sponsorship jobs in Massachusetts?
Migrate Mate is built specifically for international job seekers and shows lead machine learning engineer roles at Massachusetts employers with verified visa sponsorship history. Rather than manually sorting through general job listings, you can browse roles filtered to companies that have actively filed for ML engineering positions in Massachusetts, making the sponsorship process more transparent from the start.
Are there any Massachusetts-specific factors that affect visa sponsorship for lead machine learning engineers?
Massachusetts has one of the highest concentrations of research universities and life sciences companies in the country, which creates strong demand for senior ML talent and supports active visa filing programs at many employers. The state's university ecosystem also feeds an OPT and STEM OPT pipeline, so many employers are experienced with sponsorship processes. Massachusetts does not impose additional state-level licensing requirements specific to machine learning engineers beyond standard federal visa requirements.
What is the prevailing wage for sponsored lead machine learning engineer jobs in Massachusetts?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.