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.
Find Applied AI Engineer JobsOverview
Open roles27
Top employerAmazon
Top cityBoston, MA
Cities hiring7
Work type56% Hybrid
Top industryDistribution
Showing 5 of 27+ Applied AI Engineer jobs
Applied AI Engineer, Finance
We won't show you this job again
New 18h ago
Tutor Intelligence
Applied AI Engineer, Finance
Watertown, Massachusetts
New 18h ago
Applied AI Engineer, Go-to-Market
We won't show you this job again
New 18h ago
Tutor Intelligence
Applied AI Engineer, Go-to-Market
Watertown, Massachusetts
New 18h ago
Senior Applied AI Engineer II
We won't show you this job again
Added 6d ago
Saint-Gobain
Senior Applied AI Engineer II
Northborough, Massachusetts
Added 6d ago
Sr. Customer Success Specialist, Applied AI, AWS WWSO CDS
We won't show you this job again
Added 1w ago
Amazon Web Services
Sr. Customer Success Specialist, Applied AI, AWS WWSO CDS
Boston, Massachusetts
Added 1w ago
Director, Applied AI - (Hybrid - Acton, MA)
We won't show you this job again
Added 1w ago
Insulet Corporation
Director, Applied AI - (Hybrid - Acton, MA)
Acton, Massachusetts
Added 1w ago
New 18h ago
Applied AI Engineer, Finance
Tutor Intelligence·Watertown, Massachusetts
Job functions:
$130k - $250k/yr
Job Description
About Tutor
We believe robots are the biggest lever we have to making the physical world a better, more affordable place. But robots are a rounding error in our society: nearly nine out of ten American factories and warehouses don’t even have a single robot, and robots have yet to make their way into our homes or places of business.
Tutor Intelligence is changing that.
Tutor is a robotics research and deployment company, building generally capable robot hardware and artificial intelligence to enable robots to go where no robots have gone before. Sonny is a semi-humanoid robot with frontier dexterity approaching the human form. Cassie does back-breaking work, moving boxes, pallets, and bulk goods for businesses from family-owned manufacturers to some of the largest brands in the world. Tutor robots are manufactured at scale and operate as a network, combining the whole fleet’s learned experience to train ever more capable robot artificial intelligence.
Founded at MIT and headquartered in Watertown, MA, our team is full stack: we design and manufacture robot hardware, train our own models, work directly with the smallest and largest end-customers, and maintain our fleet across the United States. We’re a team of researchers, engineers, technicians, operators, and sellers who love building things and solving hard problems.
Our mission is grand: robots everywhere, for the common good, raising the standard of living across North America, and then the world.
The Role
As our first Applied AI Engineer on Finance, you'll build the operating system for how Tutor runs its finances: planning and forecasting, billing, the close, and the numbers leadership and the board run the company on. You'll design the process flows and change the shape of the work, and you'll do it by writing a lot of software: building whole workflows, tools, and AI agents from scratch rather than living in spreadsheets.
This is a technical role where you write and own software, and you'll embed as a true member of our finance team, owning outcomes for that team through technology. You'll have full visibility into what finance does across the business, and you'll treat finance as part of the wider Tutor system: our robots, deployments, customers, and data. Tutor sells robot labor with usage-based pricing, so billing, revenue, and unit economics all depend on what the robots actually do.
You'll join our forward-deployed AI engineering team: a strategic team of engineers already embedded across deployment, manufacturing, maintenance, and hardware and software engineering, using AI to change how each of those functions works. You'll be its first engineer dedicated to finance.
You'll start by taking over and extending finance tools we've already built. From there you'll steward the area as the business grows, using the tools alongside the team and improving them to handle more scale and complexity.
What you'll work on
- Architect and build the systems finance runs on, including FP&A and forecasting tools integrated with our existing systems, with live dashboards and analytics in place of spreadsheets.
- Automate the close with software and AI agents: reconciliations, AP/AR, spend review, and variance explanations.
- Own the usage-to-invoice pipeline, so billing reconciles to what our robots actually did.
- Build the financial data layer that joins accounting, spend, CRM, billing, and robot operations data.
- Model the business in code: pricing and deal economics, fleet and financing scenarios, and the annual operating plan.
- Take over and extend the tools we already have, and keep them working as the team and the business scale.
- Build in the controls, checks, and audit trails that let the numbers hold up to auditors, lenders, and investors.
What we're looking for
- You've architected and shipped a real system end to end, whether product, internal tooling, data, or infrastructure, and can explain the design choices behind it.
- You write working software (Python, SQL, APIs, data pipelines) and build with LLMs and AI coding tools every day.
- A technical background with a spike somewhere else: finance, economics, operations, strategy, or founding something. Your path probably hasn't been linear.
- Demonstrated passion for, interest in, or experience with finance, and a fundamental understanding of how a company's finances work. You don't need to have held a finance title.
- Precision: you build checks, sweat edge cases, and hate a number you can't explain.
- High slope: you learn fast, take on ambiguous problems with little direction, and want to make a mark.
- You want to be embedded in a business function. This is not a product engineering or research role.
Nice to haves
- Usage-based or subscription billing systems.
- A modern accounting and spend stack, and BI tools.
- Technical program management (especially FinOps or fintech), product management, or a past founder or first-of-function role.
- Hardware unit economics, equipment financing, or other capital-intensive businesses.
Why Tutor?
Whether you’re designing robots, closing deals, running deployments, or creating the processes that help us scale, your work doesn’t sit on a shelf. It shows up on real production floors, making physical work safer and more affordable.
Our team of 160+ is driven by curiosity and a genuine love of building. Everyone here takes real ownership, learns fast, and holds a high bar while having each other’s backs. If you love hard problems and creating things that didn’t exist before, you’ll fit right in.
Benefits
We take care of our team so they can do their best work. At Tutor, you’ll get:
Fully employer-covered health insurance, so you’re protected without the premium.- A managed 401(k) to help you plan for the future.
- Generous time off: unlimited PTO and all federal holidays off for full-time salaried employees, and 16+ days of accrued paid time off plus 1.5x pay on federal holidays for hourly employees.
- Regular in-office meals and team social events throughout the year.
As Tutor grows, so will our benefits. We’re continuing to invest in ways to support our team at work and beyond.
Tutor Intelligence is an equal opportunity employer and welcomes applicants from all backgrounds.
Tutor Intelligence
Applied AI Engineer, Finance
Watertown, Massachusetts
New 18h ago
Job functions:
$130k - $250k/yr
Job Description
About Tutor
We believe robots are the biggest lever we have to making the physical world a better, more affordable place. But robots are a rounding error in our society: nearly nine out of ten American factories and warehouses don’t even have a single robot, and robots have yet to make their way into our homes or places of business.
Tutor Intelligence is changing that.
Tutor is a robotics research and deployment company, building generally capable robot hardware and artificial intelligence to enable robots to go where no robots have gone before. Sonny is a semi-humanoid robot with frontier dexterity approaching the human form. Cassie does back-breaking work, moving boxes, pallets, and bulk goods for businesses from family-owned manufacturers to some of the largest brands in the world. Tutor robots are manufactured at scale and operate as a network, combining the whole fleet’s learned experience to train ever more capable robot artificial intelligence.
Founded at MIT and headquartered in Watertown, MA, our team is full stack: we design and manufacture robot hardware, train our own models, work directly with the smallest and largest end-customers, and maintain our fleet across the United States. We’re a team of researchers, engineers, technicians, operators, and sellers who love building things and solving hard problems.
Our mission is grand: robots everywhere, for the common good, raising the standard of living across North America, and then the world.
The Role
As our first Applied AI Engineer on Finance, you'll build the operating system for how Tutor runs its finances: planning and forecasting, billing, the close, and the numbers leadership and the board run the company on. You'll design the process flows and change the shape of the work, and you'll do it by writing a lot of software: building whole workflows, tools, and AI agents from scratch rather than living in spreadsheets.
This is a technical role where you write and own software, and you'll embed as a true member of our finance team, owning outcomes for that team through technology. You'll have full visibility into what finance does across the business, and you'll treat finance as part of the wider Tutor system: our robots, deployments, customers, and data. Tutor sells robot labor with usage-based pricing, so billing, revenue, and unit economics all depend on what the robots actually do.
You'll join our forward-deployed AI engineering team: a strategic team of engineers already embedded across deployment, manufacturing, maintenance, and hardware and software engineering, using AI to change how each of those functions works. You'll be its first engineer dedicated to finance.
You'll start by taking over and extending finance tools we've already built. From there you'll steward the area as the business grows, using the tools alongside the team and improving them to handle more scale and complexity.
What you'll work on
- Architect and build the systems finance runs on, including FP&A and forecasting tools integrated with our existing systems, with live dashboards and analytics in place of spreadsheets.
- Automate the close with software and AI agents: reconciliations, AP/AR, spend review, and variance explanations.
- Own the usage-to-invoice pipeline, so billing reconciles to what our robots actually did.
- Build the financial data layer that joins accounting, spend, CRM, billing, and robot operations data.
- Model the business in code: pricing and deal economics, fleet and financing scenarios, and the annual operating plan.
- Take over and extend the tools we already have, and keep them working as the team and the business scale.
- Build in the controls, checks, and audit trails that let the numbers hold up to auditors, lenders, and investors.
What we're looking for
- You've architected and shipped a real system end to end, whether product, internal tooling, data, or infrastructure, and can explain the design choices behind it.
- You write working software (Python, SQL, APIs, data pipelines) and build with LLMs and AI coding tools every day.
- A technical background with a spike somewhere else: finance, economics, operations, strategy, or founding something. Your path probably hasn't been linear.
- Demonstrated passion for, interest in, or experience with finance, and a fundamental understanding of how a company's finances work. You don't need to have held a finance title.
- Precision: you build checks, sweat edge cases, and hate a number you can't explain.
- High slope: you learn fast, take on ambiguous problems with little direction, and want to make a mark.
- You want to be embedded in a business function. This is not a product engineering or research role.
Nice to haves
- Usage-based or subscription billing systems.
- A modern accounting and spend stack, and BI tools.
- Technical program management (especially FinOps or fintech), product management, or a past founder or first-of-function role.
- Hardware unit economics, equipment financing, or other capital-intensive businesses.
Why Tutor?
Whether you’re designing robots, closing deals, running deployments, or creating the processes that help us scale, your work doesn’t sit on a shelf. It shows up on real production floors, making physical work safer and more affordable.
Our team of 160+ is driven by curiosity and a genuine love of building. Everyone here takes real ownership, learns fast, and holds a high bar while having each other’s backs. If you love hard problems and creating things that didn’t exist before, you’ll fit right in.
Benefits
We take care of our team so they can do their best work. At Tutor, you’ll get:
Fully employer-covered health insurance, so you’re protected without the premium.- A managed 401(k) to help you plan for the future.
- Generous time off: unlimited PTO and all federal holidays off for full-time salaried employees, and 16+ days of accrued paid time off plus 1.5x pay on federal holidays for hourly employees.
- Regular in-office meals and team social events throughout the year.
As Tutor grows, so will our benefits. We’re continuing to invest in ways to support our team at work and beyond.
Tutor Intelligence is an equal opportunity employer and welcomes applicants from all backgrounds.
See All 27 Applied AI Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Applied AI Engineer JobsApplied AI Engineer Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Boston
16 jobsCambridge
5 jobsWatertown
2 jobsActon
1 jobNatick
1 jobNeedham
1 jobNorthborough
1 jobApplied AI Engineer Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Distribution & Wholesale
- Banking & Financial Services
- Biotechnology & Pharmaceuticals
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, IPSEN, and Tutor Intelligence, based on current listings on Migrate Mate as of November 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 Watertown 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 November 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 27 Applied AI Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Applied AI Engineer JobsRelated Jobs in Massachusetts
Senior AI Product Manager JobsMassachusetts
Machine Learning Engineer JobsMassachusetts
AI Program Manager JobsMassachusetts
AI Research Scientist JobsMassachusetts
AI Specialist JobsMassachusetts
Cloud AI Architect JobsMassachusetts
AI Engineer JobsMassachusetts
Machine Learning Scientist JobsMassachusetts
Machine Learning Research JobsMassachusetts