Applied AI Engineer Jobs in Massachusetts
Applied AI Engineer jobs in Massachusetts are among the most active in the country, concentrated in life sciences, defense technology, robotics, and enterprise software, with openings at every level from junior ML engineers through principal AI scientists. Boston, Cambridge, and Burlington anchor the market, where employers like MathWorks, Raytheon Technologies, and Mass General Brigham maintain deep and ongoing applied AI teams. The most in-demand specialties are large language model integration, computer vision, and real-time inference systems for both clinical and industrial applications. 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 Applied AI Engineer Jobs in Massachusetts
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Find Applied AI Engineer JobsApplied AI Engineer Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Applied AI Engineer Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Electronics & Hardware
- Distribution & Wholesale
- Banking & Financial Services
- Biotechnology & Pharmaceuticals
- Consulting & Professional Services
What Massachusetts Employers Look For
The qualifications that appear most often in applied AI engineer 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 models in production environments
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX
- Familiarity with cloud infrastructure on AWS, Azure, or Google Cloud for model serving
- Experience with MLOps practices including model monitoring, versioning, and CI/CD pipelines
- Strong communication skills to translate model behavior and limitations to non-technical stakeholders
Applied AI Engineer Jobs in Massachusetts: Frequently Asked Questions
How do you become a applied ai engineer in Massachusetts?
The most direct path is a bachelor's or master's degree in computer science, electrical engineering, or a related field from one of Massachusetts's many research universities, followed by demonstrable project or internship experience with production ML systems. Massachusetts has no state-issued license for this role, so employers focus on a verifiable portfolio, relevant coursework, and referrals from the state's dense network of research labs, startups, and university cooperative programs.
How much do applied AI engineers make in Massachusetts?
Applied AI 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 applied ai engineers in Massachusetts?
Employers hiring applied ai engineers in Massachusetts right now include Amazon, Amazon Web Services, and XPO, based on current listings on Migrate Mate as of September 2026. Massachusetts's concentration of defense contractors, biotech firms, and enterprise software companies means hiring tends to be consistent year-round rather than tied to seasonal cycles.
Which Massachusetts cities have the most applied ai engineer jobs?
Boston, Cambridge, and Natick account for the largest share of applied ai engineer openings in Massachusetts. Boston and Cambridge drive demand through their biotech corridors, university-affiliated research centers, and financial technology firms, while Burlington and Waltham host major defense and enterprise software campuses that run dedicated applied AI teams.
Are there remote applied ai engineer jobs in Massachusetts?
Yes, and more than most fields. About 100% of applied ai engineer openings tied to Massachusetts are remote or hybrid as of September 2026, reflecting how much of the work centers on writing, training, and evaluating models rather than on-site hardware. The most fully remote roles tend to be in NLP, data pipeline engineering, and model evaluation, while computer vision and robotics roles more often require lab or facility access.
How can I get hired as a applied ai engineer in Massachusetts with little or no experience?
The most realistic entry point is a strong project portfolio combined with a cooperative education placement, which Massachusetts employers at companies like MathWorks, HubSpot, and Massachusetts General Hospital's AI research units actively recruit from local university co-op programs. Adjacent roles such as data analyst, ML research assistant, or software engineer on a data platform team are common lateral entry points. Completing a recognized graduate certificate in machine learning from a Massachusetts institution strengthens a candidacy when work history is thin.
Where can I find and apply to applied ai engineer jobs in Massachusetts?
You can find and apply to applied ai engineer jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings updated regularly. Find the roles that match your background and apply directly to the ones that fit.
See All 18 Applied AI Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
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