AI ML Engineering Visa Sponsorship Jobs in Massachusetts
Massachusetts is one of the country's most active states for AI and ML engineering hiring, driven by a concentration of biotech, robotics, and enterprise software companies in Greater Boston and Cambridge. Major employers including Google, Amazon, Microsoft, and homegrown firms like HubSpot and Wayfair regularly hire AI/ML engineers and have established visa sponsorship programs.
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Get Access To All JobsJob Title: Protein ML Senior Principal Data Scientist
Location: Waltham, MA
About the Job:
As Protein ML Senior Principal Data Scientist within our Vaccines R&D Data and Computational Sciences team, you'll design and deploy state-of-the-art machine learning models that predict protein properties and accelerate the development of next-generation vaccines. Ready to get started?
In this role, you will harness the power of protein language models and foundational AI to predict immunogenicity, stability, and manufacturability — properties that are critical to bringing safe, effective vaccines to the world. Working at the interface of computational and experimental science, you will collaborate closely with antigen design and bench lab teams to iteratively refine protein property predictors and translate computational insights into real-world vaccine candidates.
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.
Main Responsibilities:
- Develop state-of-the-art protein property prediction models with a focus on immunogenicity, stability, and manufacturability to support vaccine design.
- Leverage and refine language-based foundational protein representations to accelerate the identification and optimization of vaccine candidates.
- Analyze complex relationships between protein sequences, structures, and functional data to uncover generalizable representations applicable across vaccine programs.
- Collaborate with structural biology, protein design, and bench lab teams to shape the strategy for protein modeling and to iteratively improve model quality.
- Maintain the modeling codebase according to best coding practices, ensuring results are robust, reproducible, and well-documented.
- Mentor and upskill colleagues on the latest advances in protein modeling tools and techniques, fostering a culture of continuous learning and scientific rigor.
- Communicate scientific findings clearly and compellingly to a broad range of internal and external stakeholders, adapting the level of detail to each audience.
About You:
Education
- PhD degree in Computational Biology, Data Science, Applied Mathematics, Biophysics or a closely related field.
Experience
- 2+ years of industry or academic setting experience.
Preferred Qualifications
- Exceptional track record in computational biology, encompassing protein language models, biophysics, and the development of AI-based predictive models; prior experience with immunogenicity predictors is a plus.
- Advanced proficiency in Python, R, and SQL, with hands-on experience in PyTorch and AI-based structural modeling tools such as AlphaFold, OpenFold, and Boltz.
- Deep knowledge of protein representation models such as ESM.
- Familiarity with molecular dynamics, next-generation sequencing analysis, and deep mutational scanning is an advantage.
- Familiarity with agentic tools such as Claude Code for automated software engineering strongly preferred.
- Demonstrated ability to communicate fluently — in writing and in person — across computational and bench lab teams, adapting messaging to diverse audiences including senior leadership.
- Proven ability to mentor junior colleagues and lead collaboratively in the area of protein modeling.
- Strong problem-solving, communication, and collaboration skills across multidisciplinary teams.
Language
- Fluent English required.
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 US Services 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.
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.
Job Title: Protein ML Senior Principal Data Scientist
Location: Waltham, MA
About the Job:
As Protein ML Senior Principal Data Scientist within our Vaccines R&D Data and Computational Sciences team, you'll design and deploy state-of-the-art machine learning models that predict protein properties and accelerate the development of next-generation vaccines. Ready to get started?
In this role, you will harness the power of protein language models and foundational AI to predict immunogenicity, stability, and manufacturability — properties that are critical to bringing safe, effective vaccines to the world. Working at the interface of computational and experimental science, you will collaborate closely with antigen design and bench lab teams to iteratively refine protein property predictors and translate computational insights into real-world vaccine candidates.
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.
Main Responsibilities:
- Develop state-of-the-art protein property prediction models with a focus on immunogenicity, stability, and manufacturability to support vaccine design.
- Leverage and refine language-based foundational protein representations to accelerate the identification and optimization of vaccine candidates.
- Analyze complex relationships between protein sequences, structures, and functional data to uncover generalizable representations applicable across vaccine programs.
- Collaborate with structural biology, protein design, and bench lab teams to shape the strategy for protein modeling and to iteratively improve model quality.
- Maintain the modeling codebase according to best coding practices, ensuring results are robust, reproducible, and well-documented.
- Mentor and upskill colleagues on the latest advances in protein modeling tools and techniques, fostering a culture of continuous learning and scientific rigor.
- Communicate scientific findings clearly and compellingly to a broad range of internal and external stakeholders, adapting the level of detail to each audience.
About You:
Education
- PhD degree in Computational Biology, Data Science, Applied Mathematics, Biophysics or a closely related field.
Experience
- 2+ years of industry or academic setting experience.
Preferred Qualifications
- Exceptional track record in computational biology, encompassing protein language models, biophysics, and the development of AI-based predictive models; prior experience with immunogenicity predictors is a plus.
- Advanced proficiency in Python, R, and SQL, with hands-on experience in PyTorch and AI-based structural modeling tools such as AlphaFold, OpenFold, and Boltz.
- Deep knowledge of protein representation models such as ESM.
- Familiarity with molecular dynamics, next-generation sequencing analysis, and deep mutational scanning is an advantage.
- Familiarity with agentic tools such as Claude Code for automated software engineering strongly preferred.
- Demonstrated ability to communicate fluently — in writing and in person — across computational and bench lab teams, adapting messaging to diverse audiences including senior leadership.
- Proven ability to mentor junior colleagues and lead collaboratively in the area of protein modeling.
- Strong problem-solving, communication, and collaboration skills across multidisciplinary teams.
Language
- Fluent English required.
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 US Services 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.
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.
AI ML Engineering Job Roles in Massachusetts
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Search AI ML Engineering Jobs in MassachusettsAI ML Engineering Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Massachusetts?
Several large employers in Massachusetts have consistent track records of sponsoring H-1B visas for AI and ML engineering roles. These include Google and Amazon in Cambridge, Microsoft in Kendall Square, Wayfair and HubSpot in Boston, and a range of biotech and medtech companies like Biogen and Philips Healthcare. Mid-size AI-focused startups in the Greater Boston area also sponsor, though less predictably than large tech employers.
Which visa types are most common for AI ML engineering roles in Massachusetts?
The H-1B is by far the most common visa for AI and ML engineers in Massachusetts, given that these roles almost universally require a bachelor's degree or higher in computer science, mathematics, or a closely related field, meeting the specialty occupation standard. Candidates who complete graduate programs at MIT, Harvard, or Boston University often transition from F-1 OPT or STEM OPT before their employer pursues H-1B sponsorship. The O-1A is an option for candidates with documented research recognition or publications.
Which cities in Massachusetts have the most AI ML engineering sponsorship jobs?
Cambridge and Boston account for the large majority of AI and ML engineering sponsorship opportunities in Massachusetts. Cambridge's Kendall Square is home to Google, Microsoft, and numerous AI research labs. Boston proper concentrates enterprise software, fintech, and health tech employers. Somerville and Waltham have growing clusters of mid-size AI companies. Outside Greater Boston, Worcester has a smaller but emerging tech presence connected to WPI's engineering programs.
How to find ai ml engineering visa sponsorship jobs in Massachusetts?
Migrate Mate filters AI and ML engineering jobs specifically by visa sponsorship status, so you're not sorting through postings from employers who won't sponsor. For Massachusetts, you can browse roles concentrated in Cambridge, Boston, and Somerville, covering employers across enterprise software, biotech, and robotics. Migrate Mate also surfaces H-1B filing history context to help you assess which employers have active sponsorship programs for technical engineering roles.
Are there any state-specific considerations for AI ML engineers pursuing sponsorship in Massachusetts?
Massachusetts has a high concentration of research universities feeding directly into the local AI and ML job market, which means employer familiarity with OPT-to-H-1B transitions is generally higher here than in less tech-dense states. The state also has a strong biotech corridor where AI engineers work on regulated healthcare applications, which can involve additional compliance requirements at the project level. Employers in Cambridge's Kendall Square are experienced with sponsorship for research-oriented and applied ML roles specifically.
What is the prevailing wage for sponsored ai ml engineering 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.