AI Jobs in Massachusetts
AI jobs in Massachusetts are concentrated in biotechnology, financial services, healthcare technology, and defense research, with demand across the full spectrum from entry-level machine learning engineers to principal AI scientists. Boston, Cambridge, and Burlington anchor the market, where employers like Moderna, Raytheon Technologies, and State Street maintain significant AI teams. Applied machine learning, natural language processing, and computer vision are the most consistently sought specialties across Massachusetts listings. Scan the live roles below and apply to whichever ones fit.
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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
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 12 AI Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find AI JobsAI Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
AI Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Insurance
- Law & Legal Services
- Technology & Software
- Healthcare & Medical Services
- Biotechnology & Pharmaceuticals
What Massachusetts Employers Look For
The qualifications that appear most often in AI jobs across Massachusetts.
- Bachelor's or master's degree in computer science, data science, or a related technical field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Experience designing, training, and deploying machine learning or deep learning models
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud for AI workloads
- Strong understanding of statistical modeling, data pipelines, and feature engineering
- Ability to communicate technical findings clearly to non-technical stakeholders and cross-functional teams
AI Jobs in Massachusetts: Frequently Asked Questions
How do you become a ai in Massachusetts?
There is no state-issued license required to work as an AI professional in Massachusetts. Most roles require at least a bachelor's degree in computer science, data science, mathematics, or a closely related field, with a master's degree preferred at research-oriented employers like those in the Kendall Square ecosystem. Building a portfolio of deployed models or published projects and earning vendor certifications from AWS, Google, or Microsoft strengthens your candidacy considerably.
Which companies hire ais in Massachusetts?
Employers hiring ais in Massachusetts right now include Amazon, Plymouth Rock Assurance, and Novartis, based on current listings on Migrate Mate as of September 2026. Massachusetts's concentration of biotech firms, defense contractors, and financial institutions means AI hiring here skews toward applied research, regulated-industry compliance use cases, and large-scale data infrastructure.
Which Massachusetts cities have the most ai jobs?
The Massachusetts cities with the most ai openings are Boston, Cambridge, and Waltham. Boston and Cambridge drive the bulk of listings because of the dense cluster of research hospitals, biotech companies, and financial services firms anchored there, while suburban areas like Burlington and Waltham draw significant demand from defense and enterprise software employers operating outside the urban core.
Are there remote ai jobs in Massachusetts?
Yes, and more than most fields. About 50% of ai openings tied to Massachusetts are remote or hybrid as of September 2026, reflecting how transferable this work is across locations. Roles focused on model development, data pipeline engineering, and research tend to offer the most scheduling flexibility, while positions tied to proprietary on-site infrastructure or regulated lab environments are more likely to require regular in-person presence.
How can I get hired as a ai in Massachusetts with little or no experience?
The most realistic entry path is a master's or accelerated graduate program at a Massachusetts institution paired with an internship at a local employer. Large Boston-area companies including biotechs and financial services firms run structured new-graduate and rotational data programs that accept candidates without full-time AI experience. Transitioning from a data analyst or software engineering role is a common lateral move, and contributing to open-source projects or publishing Kaggle competition results provides the portfolio evidence hiring managers look for when your resume lacks direct industry experience.
Where can I find and apply to ai jobs in Massachusetts?
You can find and apply to ai jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings from employers actively hiring right now. Search the listings, find roles that match your background and preferences, and apply directly to the ones that fit.
See All 12 AI Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
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