Senior ML Engineer Visa Sponsorship Jobs in Massachusetts
Massachusetts is one of the strongest markets for senior ML engineer visa sponsorship in the U.S., driven by Boston's dense concentration of AI research institutions, biotech firms, and enterprise tech companies. Major employers include Amazon, Google, Microsoft, and a growing cluster of ML-focused startups and academic spinouts headquartered in Cambridge and the Greater Boston area.
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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.
Senior ML Engineer Job Roles in Massachusetts
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Search Senior ML Engineer Jobs in MassachusettsSenior ML Engineer Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for senior ML engineers in Massachusetts?
Major sponsors in Massachusetts include Amazon, Google, Microsoft, HubSpot, Wayfair, and a large number of biotech and AI startups concentrated in Cambridge and Boston. Academic medical centers like Mass General Brigham also hire senior ML engineers for applied research roles. Sponsorship patterns are most consistent at mid-to-large tech employers with established immigration programs and dedicated HR infrastructure.
Which visa types are most common for senior ML engineer roles in Massachusetts?
The H-1B visa is the most common visa for senior ML engineers in Massachusetts, as the role qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. Australian citizens may pursue the E-3 visa. Candidates with extraordinary ability in AI research sometimes qualify for the O-1A. Employers at universities or affiliated research institutions may also file cap-exempt H-1B visa petitions.
Which cities in Massachusetts have the most senior ML engineer sponsorship jobs?
Cambridge and Boston together account for the overwhelming majority of senior ML engineer sponsorship jobs in Massachusetts. Cambridge hosts Kendall Square, one of the densest concentrations of AI and biotech employers in the country, including MIT spinouts and major tech office locations. Somerville, Waltham, and Burlington also have active employer clusters, particularly in enterprise software, defense technology, and healthcare analytics.
How to find senior ml engineer visa sponsorship jobs in Massachusetts?
Migrate Mate filters job listings specifically for roles that include visa sponsorship, so you can browse senior ML engineer positions in Massachusetts without sorting through companies that won't support international candidates. The platform is built for this use case, covering employers across Boston, Cambridge, and surrounding areas. Searching by role and state on Migrate Mate surfaces opportunities at both established tech employers and high-growth AI startups.
Are there state-specific considerations for senior ML engineers pursuing sponsorship in Massachusetts?
Massachusetts employers filing H-1B petitions must meet Department of Labor prevailing wage requirements for the Boston-Cambridge-Nashua metropolitan area, which reflects a high cost of living and competitive local market. The state's deep university pipeline, including MIT, Harvard, and Northeastern, creates strong employer familiarity with visa sponsorship processes. Biotech and AI research roles in the area often intersect with federal grant funding, which can affect hiring timelines and visa eligibility at some institutions.
What is the prevailing wage for sponsored senior ml 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.