AI Research Scientist Jobs in Massachusetts
AI Research Scientist jobs in Massachusetts represent one of the most active and competitive markets in the country, concentrated in biotechnology, robotics, healthcare AI, and defense technology sectors, with openings at every level from junior research positions through principal scientist and research director. The densest hiring is in Greater Boston, Cambridge, and the Route 128 corridor, where institutions and companies like MIT Lincoln Laboratory, Broad Institute, and Google have deep research footprints. The most sought-after specialties in Massachusetts listings include large language models, computational biology, computer vision, and reinforcement learning. Find a role that fits below and apply directly.
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We are looking for a Senior Research Scientist to lead research on using AI to design, analyze, implement, and verify secure computer systems. The work spans hardware architectures, firmware, operating systems, runtimes, compilers, libraries, and applications, combining advances in generative AI and agents with program analysis, formal methods, synthesis, computer architecture, and software engineering.
The goal is to make security a property that can be designed and verified from the outset rather than added after deployment. You will create AI-enabled techniques that help researchers and engineers express security requirements, explore designs, identify flaws, generate secure implementations, construct or check proofs, and produce trustworthy hardware and software artifacts at practical scale. NVIDIA is a leader in accelerated computing and AI systems. This role offers the opportunity to set research direction, influence future platforms, and translate foundational advances into practical capabilities in collaboration with research, product, and engineering teams.
What you'll be doing:
- Define a high-impact research agenda and lead projects in AI-enabled secure system design, implementation, analysis, and verification.
- Develop models, agents, and tools for security requirements and specification, threat modeling, architecture exploration, secure code and hardware generation, program analysis, synthesis, and proof construction.
- Combine AI techniques with static and dynamic analysis, formal verification, symbolic reasoning, testing, and domain-specific security knowledge to produce reliable and machine-checkable results.
- Build end-to-end prototypes and evaluate them on realistic hardware and software systems, measuring security, correctness, scalability, performance, and human productivity. Collaborate across hardware, software, AI, research, and product teams; publish original research; mentor researchers and interns; and translate advances into practical developer and design capabilities.
What we need to see:
- A Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent research experience.
- 6+ years of relevant experience, with an established record of research excellence demonstrated through influential publications, open-source systems, patents, technology transfer, or substantial research collaborations.
- Deep expertise in one or more relevant areas such as formal methods, program analysis, programming languages, software or hardware security, computer architecture, compilers, AI for code, or automated reasoning and synthesis.
- Experience defining and leading ambiguous, multi-disciplinary research projects and providing technical mentorship.
- Strong implementation and experimental skills in C, C++, Python, hardware description languages, theorem provers, analysis frameworks, or relevant AI/ML tooling. Excellent written and verbal communication skills and the ability to connect foundational research with real engineering and product needs.
We are looking for a creative, collaborative, and self-directed researcher who wants to use AI to change how secure computer systems are conceived, built, and verified.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.You will also be eligible for equity and benefits .
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.See All 19 AI Research Scientist Jobs in Massachusetts
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Find AI Research Scientist JobsAI Research Scientist Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
AI Research Scientist Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
- Biotechnology & Pharmaceuticals
- Retail
- Insurance
- Science & Research
What Massachusetts Employers Look For
The qualifications that appear most often in AI research scientist jobs across Massachusetts.
- PhD in computer science, machine learning, statistics, or a closely related field
- Demonstrated publication record in peer-reviewed AI or machine learning conferences
- Hands-on experience with PyTorch, TensorFlow, or comparable deep learning frameworks
- Experience designing and executing independent research projects from conception to publication
- Proficiency in Python and familiarity with large-scale distributed computing environments
- Strong communication skills for presenting findings to both technical and non-technical audiences
AI Research Scientist Jobs in Massachusetts: Frequently Asked Questions
How do you become a ai research scientist in Massachusetts?
The typical path is a PhD in computer science, artificial intelligence, statistics, or a related quantitative discipline, followed by a postdoctoral position or direct industry hire. Massachusetts has no state-issued license specific to AI research scientists. Most candidates build a portfolio through published research, open-source contributions, and internships at Massachusetts universities or companies. Strong ties to Boston-area academic institutions like MIT, Harvard, or Northeastern can meaningfully accelerate the hiring process.
How much do AI research scientists make in Massachusetts?
AI research scientists in Massachusetts earn a median of about $170,510 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $77,160 for the lowest 10% to over $233,340 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai research scientists in Massachusetts?
Employers hiring ai research scientists in Massachusetts right now include NVIDIA, Amazon, and Brandeis University, based on current listings on Migrate Mate as of November 2026. Massachusetts is home to a particularly dense cluster of biotech, robotics, and defense-technology organizations that maintain dedicated in-house research teams rather than outsourcing AI development.
Which Massachusetts cities have the most ai research scientist jobs?
Boston, Waltham, and Westford have the most ai research scientist openings in Massachusetts. Greater Boston and Cambridge dominate because of their concentration of world-class research universities, teaching hospitals, and life-sciences campuses, while Route 128 suburban hubs like Waltham and Burlington attract technology and defense contractors that operate large AI research divisions.
Are there remote ai research scientist jobs in Massachusetts?
Yes, and more than most fields. About 50% of ai research scientist openings tied to Massachusetts are remote or hybrid as of November 2026, reflecting the nature of work that is primarily computational and publication-driven. The portions of the role most commonly performed remotely include model development, literature review, and paper writing, while lab-based or hardware-adjacent research positions typically require in-person presence.
How can I get hired as a ai research scientist in Massachusetts with little or no experience?
The most realistic entry path is a research internship or a PhD fellowship with a Massachusetts employer during graduate study. Organizations like MIT Lincoln Laboratory, the Broad Institute, and major Boston-area hospital systems run structured research programs that recruit graduate students and postdoctoral fellows without prior industry experience. Adjacent roles such as machine learning engineer, research engineer, or data scientist at these institutions also provide a route into a research scientist title. Building a public portfolio of open-source projects and preprints on ArXiv strengthens any application considerably.
Where can I find and apply to ai research scientist jobs in Massachusetts?
You can find and apply to ai research scientist jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings across industries and experience levels. Find the roles that fit your background and apply directly to each employer from the listing.
See All 19 AI Research Scientist Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
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