Software Engineer AI Jobs in Massachusetts
Software Engineer AI jobs in Massachusetts are among the most actively recruited technology roles in the state, concentrated in biotechnology, financial services, defense technology, and enterprise software, with openings at every level from early-career engineers through principal and staff. The greatest density of hiring sits in Greater Boston, Cambridge, and the Route 128 corridor, where employers such as Amazon, Microsoft, and Raytheon Technologies maintain substantial engineering operations. Roles specializing in large language model development, ML infrastructure, and applied NLP see the strongest and most consistent demand. Find a role that fits below and apply directly.
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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 Software Engineer AI Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Software Engineer AI JobsSoftware Engineer AI Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Software Engineer AI 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 software engineer AI jobs across Massachusetts.
- Bachelor's or master's degree in computer science, AI, or a closely related engineering field
- Hands-on experience building and deploying machine learning or deep learning models in production
- Proficiency in Python and familiarity with frameworks such as PyTorch or TensorFlow
- Experience working with large language models, fine-tuning, or retrieval-augmented generation pipelines
- Ability to collaborate with cross-functional teams including data scientists, product managers, and platform engineers
- Familiarity with cloud infrastructure on AWS, Azure, or Google Cloud for model training and serving
Software Engineer AI Jobs in Massachusetts: Frequently Asked Questions
How do you become a software engineer ai in Massachusetts?
A bachelor's degree in computer science, artificial intelligence, or a related engineering discipline is the standard starting point for software engineer AI roles in Massachusetts, with many competitive positions preferring or requiring a master's degree. There is no state-issued license required to work as a software engineer AI in Massachusetts. Employers across Greater Boston and the Route 128 corridor look for candidates who can demonstrate applied experience through projects, internships at Massachusetts research institutions, or contributions to open-source AI work.
How much do software engineer AIs make in Massachusetts?
Software engineer AIs 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 software engineer ais in Massachusetts?
Employers hiring software engineer ais 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 enterprise software companies means demand is spread across both large corporations and well-funded startups headquartered in the greater Boston area.
Which Massachusetts cities have the most software engineer ai jobs?
Boston, Cambridge, and Waltham account for the largest share of software engineer AI openings in Massachusetts. Boston and Cambridge drive the bulk of listings due to their dense cluster of technology companies, research hospitals, and university-affiliated AI labs, while the Route 128 suburbs capture significant demand from defense technology and enterprise software employers that have long anchored that corridor.
Are there remote software engineer ai jobs in Massachusetts?
Yes, and more than most fields. About 63% of software engineer AI openings tied to Massachusetts are remote or hybrid as of August 2026, reflecting how well-suited the work is for distributed collaboration. The parts of the role most likely to remain fully remote are model development, research, and code review, while positions involving on-site infrastructure or collaboration with hardware teams are more likely to require in-person work.
How can I get hired as a software engineer ai in Massachusetts with little or no experience?
The most realistic entry path is a new-graduate or associate AI engineer role, often posted by Massachusetts employers such as Amazon, Raytheon Technologies, and the research divisions of major Boston-area hospitals and universities. Building a demonstrable portfolio of machine learning projects, contributing to open-source repositories, or completing a graduate certificate in AI from a Massachusetts institution such as MIT or Northeastern can meaningfully strengthen an application. Lateral moves from roles such as data analyst, software engineer, or ML operations specialist are also a common door into dedicated AI engineering positions.
Where can I find and apply to software engineer ai jobs in Massachusetts?
You can find and apply to software engineer AI jobs in Massachusetts on Migrate Mate, which lists current openings across Greater Boston, Cambridge, the Route 128 corridor, and beyond. Search the listings, find roles that match your experience and preferences, and apply directly to the ones that fit.
See All 38 Software Engineer AI Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Software Engineer AI Jobs