ML Software Engineer Visa Sponsorship Jobs in Massachusetts
Massachusetts is one of the strongest states for ML software engineer visa sponsorship, anchored by Greater Boston's concentration of AI research labs, biotech firms, and technology companies. Major employers including Amazon, Google, Microsoft, and HubSpot maintain significant engineering offices here, alongside MIT and Harvard spinouts that regularly hire ML engineers requiring H-1B visa sponsorship.
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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.
ML Software Engineer Job Roles in Massachusetts
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Search ML Software Engineer Jobs in MassachusettsML Software Engineer Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for ML software engineers in Massachusetts?
Several large technology and life sciences employers in Massachusetts have consistent H-1B sponsorship records for ML software engineers. Amazon, Google, Microsoft, HubSpot, Wayfair, Biogen, and Moderna have all filed LCAs for ML-related roles in the state. Boston-area AI startups and research-driven firms spun out of MIT and Harvard also sponsor, though their hiring volumes are smaller and less predictable than established technology employers.
Which visa types are most common for ML software engineer roles in Massachusetts?
The H-1B is by far the most common visa for ML software engineers in Massachusetts, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. OPT and STEM OPT extensions are also widely used by recent graduates from Massachusetts universities. Candidates with extraordinary ability may pursue the O-1A, though it requires substantial documentation of achievement.
Which cities in Massachusetts have the most ML software engineer sponsorship jobs?
Greater Boston, including Cambridge and Somerville, concentrates the overwhelming majority of ML software engineer sponsorship opportunities in Massachusetts. Cambridge is particularly dense, home to major technology offices and research institutions including MIT. Burlington and Waltham along Route 128 host a secondary cluster of technology and life sciences employers. Outside this corridor, sponsorship opportunities drop off significantly.
How to find ml software engineer visa sponsorship jobs in Massachusetts?
Migrate Mate is a job board built specifically for international candidates seeking visa sponsorship in the U.S., including ML software engineer roles in Massachusetts. You can filter directly by state and job category to surface employers who have active openings and a documented history of sponsoring work visas. This saves considerable time compared to manually researching which Massachusetts employers support H-1B or OPT candidates.
Are there state-specific considerations for ML software engineers seeking sponsorship in Massachusetts?
Massachusetts benefits from one of the deepest ML talent pipelines in the country, fed by MIT, Harvard, Northeastern, and Boston University. This means competition for sponsored roles is high, particularly at well-known employers. The state's strong life sciences sector also creates ML engineering demand outside pure technology companies, with pharmaceutical and medical device firms increasingly hiring for applied ML roles. Prevailing wage requirements apply statewide and are determined by the Department of Labor based on the specific job location and level.
What is the prevailing wage for sponsored ml software 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.