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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DESCRIPTION
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Science Manager with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to lead a team ensuring the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.
Key job responsibilities
As part of the AGI team, an Applied Science Manager will lead and mentor a team of Applied Scientists who develop comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. The manager will guide the team in designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that align with core scientist team developing Amazon Nova models. The Applied Science Manager will oversee expert-level manual audits, meta-audits to evaluate auditor performance, and provide coaching to uplift overall quality capabilities across the team. A critical aspect of this role involves managing the development and maintenance of LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Science Manager will also oversee the configuration of data collection workflows and ensure effective communication of quality feedback to stakeholders. The manager will have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.
The Applied Science Manager will be responsible for recruiting, hiring, and developing team members, conducting performance reviews, setting clear expectations and growth plans, and fostering a culture of scientific excellence and innovation. The manager will communicate with senior leadership, cross-functional technical teams, and customers to collect requirements, describe product features and technical designs, and articulate product strategy.
A day in the life
An Applied Science Manager with the AGI team will lead quality solution design, guide root cause analysis on data quality issues, drive research into new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. The manager will work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice. The manager will also conduct regular 1:1s with team members, provide mentorship and coaching, and ensure the team delivers high-impact results aligned with organizational goals.
BASIC QUALIFICATIONS
- 3+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
PREFERRED QUALIFICATIONS
- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, Boston - 183,800.00 - 248,700.00 USD annually
USA, WA, BELLEVUE - 183,800.00 - 248,700.00 USD annually
See All 18 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 Amazon, Plymouth Rock Assurance, and Novartis, based on current listings on Migrate Mate as of September 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, Cambridge, and Waltham 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 September 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 18 AI Research Scientist Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find AI Research Scientist Jobs