Senior AI Software Engineer Jobs in Massachusetts
Senior AI Software Engineer jobs in Massachusetts are among the most active in the country, concentrated in biotech, robotics, defense technology, and enterprise software across a market that ranges from mid-level practitioners to principal engineers leading research teams. Boston, Cambridge, and the Route 128 corridor are the primary hiring hubs, with established employers like Raytheon Technologies, MathWorks, and Mass General Brigham consistently building out AI and machine learning capabilities. The most in-demand specialties include large language model development, computer vision, and MLOps infrastructure. Find a role that fits below and apply directly.
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Showing 5 of 38+ Senior AI Software Engineer jobs
Work Your Magic with us! Start your next chapter and join MilliporeSigma.
Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.
The preferred location for this role is Burlington, MA or St. Louis, MO. Other locations in the US, including remote, may also be considered.
Your Role
As the Product Specialist for Software & AI, you will drive pioneering innovation in the strategy, development, and commercialization of cutting-edge software and AI-enabled solutions that revolutionize protein science workflows. Functioning as a technical product owner, this role requires deep expertise in scientific software and digital technologies, with a strong emphasis on transforming assay knowledge, customer insights, and automation data into smart, forward-thinking, and intuitive product innovations that accelerate time-to-market.
You will collaborate closely with automation, R&D, software engineering, and data science teams to co-create advanced digital capabilities — owning the product vision and roadmap delivery — that set new standards for ease of use, reproducibility, and workflow efficiency across our Protein Sciences portfolio.
Key Responsibilities
Define and drive the technical roadmap for scientific software, data infrastructure, and AI/ML capabilities across the Protein Sciences portfolio, delivering differentiated data-driven and algorithm-enabled solutions.
Serve as the technical and innovation lead for scientific software and AI, bridging assay workflows, data models, and advanced analytics to enable next-generation protein analysis.
Identify and drive opportunities where AI and modern data methods unlock new capabilities, advancing assay development, signal processing, data harmonization, and performance monitoring beyond traditional approaches.
Translate customer, market, and workflow needs into software and AI product requirements, including data models, feature definitions, and user experiences aligned to real-world scientific applications.
Lead the integration of software, data, and automation systems, defining data capture, metadata standards, control interfaces, and interoperability across instruments and digital platforms.
Drive cross-functional product development and innovation, partnering with Software Engineering, UX, R&D, Automation, and PM Operations — managing the full product development lifecycle from concept through launch to ensure on-time, on-strategy delivery.
Evaluate and develop strategic partnerships with external software, data, and AI providers to accelerate platform capabilities and innovation.
Support go-to-market strategy and commercial enablement, applying core product management principles including product positioning, voice-of-customer synthesis, messaging, and launch execution for software and AI solutions.
Minimum Qualifications
- Bachelor’s degree in biology, bioengineering, computer science, data science, or related field.
- 5+ years of experience with scientific software, digital platforms, or data/analytics solutions in life science research.
Preferred Qualifications
- M.Sc., Ph.D., or MBA.
- Experience with AI/ML applications in assay development, signal analysis, data interpretation, or workflow optimization.
- Familiarity with cloud‑based software, data pipelines, and workflow orchestration tools.
- Strong ability to translate scientific complexity into user‑friendly digital tools.
- Experience working across biology, software, engineering, and commercial teams; familiarity with agile product management methodologies and cross-functional roadmap execution is a plus.
US Pay Range for this position: $116,600-$175,000
The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites. For more information click here.
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!
Work Your Magic with us! Start your next chapter and join MilliporeSigma.
Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.
The preferred location for this role is Burlington, MA or St. Louis, MO. Other locations in the US, including remote, may also be considered.
Your Role
As the Product Specialist for Software & AI, you will drive pioneering innovation in the strategy, development, and commercialization of cutting-edge software and AI-enabled solutions that revolutionize protein science workflows. Functioning as a technical product owner, this role requires deep expertise in scientific software and digital technologies, with a strong emphasis on transforming assay knowledge, customer insights, and automation data into smart, forward-thinking, and intuitive product innovations that accelerate time-to-market.
You will collaborate closely with automation, R&D, software engineering, and data science teams to co-create advanced digital capabilities — owning the product vision and roadmap delivery — that set new standards for ease of use, reproducibility, and workflow efficiency across our Protein Sciences portfolio.
Key Responsibilities
Define and drive the technical roadmap for scientific software, data infrastructure, and AI/ML capabilities across the Protein Sciences portfolio, delivering differentiated data-driven and algorithm-enabled solutions.
Serve as the technical and innovation lead for scientific software and AI, bridging assay workflows, data models, and advanced analytics to enable next-generation protein analysis.
Identify and drive opportunities where AI and modern data methods unlock new capabilities, advancing assay development, signal processing, data harmonization, and performance monitoring beyond traditional approaches.
Translate customer, market, and workflow needs into software and AI product requirements, including data models, feature definitions, and user experiences aligned to real-world scientific applications.
Lead the integration of software, data, and automation systems, defining data capture, metadata standards, control interfaces, and interoperability across instruments and digital platforms.
Drive cross-functional product development and innovation, partnering with Software Engineering, UX, R&D, Automation, and PM Operations — managing the full product development lifecycle from concept through launch to ensure on-time, on-strategy delivery.
Evaluate and develop strategic partnerships with external software, data, and AI providers to accelerate platform capabilities and innovation.
Support go-to-market strategy and commercial enablement, applying core product management principles including product positioning, voice-of-customer synthesis, messaging, and launch execution for software and AI solutions.
Minimum Qualifications
- Bachelor’s degree in biology, bioengineering, computer science, data science, or related field.
- 5+ years of experience with scientific software, digital platforms, or data/analytics solutions in life science research.
Preferred Qualifications
- M.Sc., Ph.D., or MBA.
- Experience with AI/ML applications in assay development, signal analysis, data interpretation, or workflow optimization.
- Familiarity with cloud‑based software, data pipelines, and workflow orchestration tools.
- Strong ability to translate scientific complexity into user‑friendly digital tools.
- Experience working across biology, software, engineering, and commercial teams; familiarity with agile product management methodologies and cross-functional roadmap execution is a plus.
US Pay Range for this position: $116,600-$175,000
The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites. For more information click here.
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!
See All 38 Senior AI Software Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find JobsSenior AI Software Engineer Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Senior AI Software Engineer Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Healthcare & Medical Services
- Insurance
- Law & Legal Services
- Biotechnology & Pharmaceuticals
What Massachusetts Employers Look For
The qualifications that appear most often in senior AI software engineer jobs across Massachusetts.
- Bachelor's or master's degree in computer science, machine learning, or a closely related field
- Five or more years of hands-on experience building and deploying production AI or ML systems
- Deep proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX
- Experience designing MLOps pipelines, model monitoring, and scalable inference infrastructure
- Demonstrated ability to lead technical projects and mentor junior engineers on AI teams
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud for AI workload deployment
Senior AI Software Engineer Jobs in Massachusetts: Frequently Asked Questions
How do you become a senior ai software engineer in Massachusetts?
There is no state-issued license required to work as a senior ai software engineer in Massachusetts. The typical path starts with a bachelor's degree in computer science, mathematics, or a related field, though many employers in Boston and Cambridge prioritize demonstrated ML experience and a strong project portfolio over credentials alone. Progressing to a senior role generally requires several years building production AI systems, contributing to open-source projects or research, and ideally completing graduate coursework or a master's degree to compete for positions at research-intensive employers.
How much do senior AI software engineers make in Massachusetts?
Senior AI software engineers in Massachusetts earn a median of about $165,210 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $102,810 for the lowest 10% to over $213,970 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior ai software engineers in Massachusetts?
Employers hiring senior ai software engineers in Massachusetts right now include Klaviyo, Amazon, and Revvity, based on current listings on Migrate Mate as of August 2026. Massachusetts's concentration of biotech firms, defense contractors, and university-affiliated research institutions makes it one of the more varied hiring environments for AI engineers in the country.
Which Massachusetts cities have the most senior ai software engineer jobs?
Boston, Cambridge, and Waltham have the most senior ai software engineer openings in Massachusetts. Boston and Cambridge dominate because of the density of research hospitals, biotech companies, and technology firms anchored near MIT and Harvard, while suburban Route 128 corridor cities like Waltham and Burlington host major defense and enterprise software employers that maintain large engineering headcounts.
Are there remote senior ai software engineer jobs in Massachusetts?
Yes, and more than most fields. About 63% of senior ai software engineer openings tied to Massachusetts are remote or hybrid as of August 2026, reflecting how effectively AI engineering work translates to distributed teams. Model development, research, and data pipeline work are the most commonly offered remote functions, while roles requiring close collaboration with hardware or embedded systems teams tend to require on-site presence.
How can I get hired as a senior ai software engineer in Massachusetts with little or no experience?
The most realistic entry path is a junior or associate machine learning engineer role, which large Massachusetts employers like Raytheon Technologies, MathWorks, and Boston-area biotech firms post regularly for candidates with strong academic projects or internship experience. Building a public GitHub portfolio of end-to-end ML projects is the single most effective credential substitute. Adjacent roles in data engineering, software engineering, or research assistance at university labs affiliated with MIT, Harvard, or Northeastern frequently serve as the on-ramp into applied AI positions at the same organizations.
Where can I find and apply to senior ai software engineer jobs in Massachusetts?
You can find and apply to senior ai software engineer jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings updated regularly. Find the roles that fit your experience and apply directly to the employers posting them.
See All 38 Senior AI Software Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
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