Machine Learning Engineer Jobs in Massachusetts
Machine Learning Engineer jobs in Massachusetts are among the most active in the country, with strong demand concentrated in biotechnology, financial services, robotics, and defense technology, and openings at every level from early-career to principal engineer. Boston, Cambridge, and the Route 128 corridor are the primary hiring hubs, home to anchor employers like MathWorks, Raytheon Technologies, and Partners HealthCare parent Mass General Brigham, which run substantial ML and AI teams. The most in-demand specialties include natural language processing, computer vision, and MLOps engineering. Find a role that fits below and apply directly.
Find JobsOverview
Showing 5 of 75+ Machine Learning Engineer jobs
As a Principal Machine Learning Engineer I, you will design, build, and operate production ML systems at scale. You will turn advanced models for sequential and multi-modal data into reliable products that power risk assessment, engagement, and event detection. You will partner with research, product, and platform teams to deliver measurable business impact across cloud and edge.
CMT is looking for a Principal Machine Learning Engineer I to help us change the world. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility — understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT.
Qualifications:
- Master's degree or equivalent years of experience and/or certification in Data Science, Computer Science, Electrical Engineering, Physics, or Mathematics
- 7+ years of professional experience in AI/ML
- 3+ years of hands-on experience developing and deploying deep learning models with a strong portfolio in generative AI for sequential or spatio-temporal data
- Strong software engineering skills in Python
- Must have at least two years of AWS experience and demonstrated knowledge of common AWS services such as EC2, S3, Lambda, Athena, Redshift, etc
- Must have at least 2 years of professional experience with computer languages such as Python, C++, Scala, etc
- Strong knowledge of SQL concepts, ability to comprehend and write complex SQL statements
- Excellent problem solving, communication, and cross-functional collaboration
Nice to Haves:
- Ph.D. in a relevant field.
- Hands-on experience with time-series or multi-modal architectures for sensor fusion and behavioral modeling
- Background in self-supervised learning on real-world sensor data and physics-informed modeling
- Experience building large-scale data processing and orchestration: Spark or Beam, Airflow, Kafka or Pub/Sub, Docker, and Kubernetes on AWS, GCP, or Azure
- Publications in strong AI or ML venues
Compensation and Benefits:
- Fair and competitive salary based on skills and experience, and annual performance bonus
- Equity may be awarded in the form of Restricted Stock Units (RSUs)
- Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave
- Unlimited Paid Time Off including vacation, sick days & public holidays
- Flexible scheduling and work from home policy depending on role and responsibilities
Base Salary Range
- The base salary range for this position is: $177,000 to $221,300. This range is specifically for Cambridge, MA
Additional Perks:
- Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world
- Join an industry leader — 65 million drivers protected, powering 140+ programs across 25 countries
- Recognized innovator in mobility AI, earning top honors including the TIME Industry Leader in AI, a Gold Edison Award, and the Artificial Intelligence Excellence Award for AI for Social Good. CMT is also Great Place to Work Certified
- Be part of the team inventing the future of mobility and road safety
- Move fast, own outcomes, do work that matters
- High ownership, small teams, and direct access to leadership — no layers between your work and its impact
- Unlimited PTO, flexible scheduling, competitive salary, annual performance bonus, RSUs, and full benefits including medical, dental, vision, and 401k match
- Summer Fridays provide team members with half days to recharge
- Join one of our employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness
- Comprehensive wellness, education, and employee assistance programs
Commitment to Diversity and Inclusion:
At CMT, we believe the best ideas come from a mix of backgrounds and perspectives.
We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team.
We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on Instagram @cmt.ai
About Cambridge Mobile Telematics:
Cambridge Mobile Telematics (CMT) is the world's largest telematics and AI company for safer mobility. Its mission is to make the world's roads and drivers safer. The company's AI-driven platform, DriveWell Fusion®, proactively identifies and reduces driving risk, leading to fewer crashes and injuries. To date, CMT's technology has helped prevent over 126,000 crashes worldwide. CMT enables partners to measure risk, detect crashes, provide life-saving assistance, and streamline claims. Headquartered in Cambridge, MA, CMT operates globally with offices in Budapest, Hungary; Chennai, India; Seattle, Washington; Tokyo, Japan; and Zagreb, Croatia. Learn more at www.cmt.ai.
As a Principal Machine Learning Engineer I, you will design, build, and operate production ML systems at scale. You will turn advanced models for sequential and multi-modal data into reliable products that power risk assessment, engagement, and event detection. You will partner with research, product, and platform teams to deliver measurable business impact across cloud and edge.
CMT is looking for a Principal Machine Learning Engineer I to help us change the world. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility — understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT.
Qualifications:
- Master's degree or equivalent years of experience and/or certification in Data Science, Computer Science, Electrical Engineering, Physics, or Mathematics
- 7+ years of professional experience in AI/ML
- 3+ years of hands-on experience developing and deploying deep learning models with a strong portfolio in generative AI for sequential or spatio-temporal data
- Strong software engineering skills in Python
- Must have at least two years of AWS experience and demonstrated knowledge of common AWS services such as EC2, S3, Lambda, Athena, Redshift, etc
- Must have at least 2 years of professional experience with computer languages such as Python, C++, Scala, etc
- Strong knowledge of SQL concepts, ability to comprehend and write complex SQL statements
- Excellent problem solving, communication, and cross-functional collaboration
Nice to Haves:
- Ph.D. in a relevant field.
- Hands-on experience with time-series or multi-modal architectures for sensor fusion and behavioral modeling
- Background in self-supervised learning on real-world sensor data and physics-informed modeling
- Experience building large-scale data processing and orchestration: Spark or Beam, Airflow, Kafka or Pub/Sub, Docker, and Kubernetes on AWS, GCP, or Azure
- Publications in strong AI or ML venues
Compensation and Benefits:
- Fair and competitive salary based on skills and experience, and annual performance bonus
- Equity may be awarded in the form of Restricted Stock Units (RSUs)
- Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave
- Unlimited Paid Time Off including vacation, sick days & public holidays
- Flexible scheduling and work from home policy depending on role and responsibilities
Base Salary Range
- The base salary range for this position is: $177,000 to $221,300. This range is specifically for Cambridge, MA
Additional Perks:
- Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world
- Join an industry leader — 65 million drivers protected, powering 140+ programs across 25 countries
- Recognized innovator in mobility AI, earning top honors including the TIME Industry Leader in AI, a Gold Edison Award, and the Artificial Intelligence Excellence Award for AI for Social Good. CMT is also Great Place to Work Certified
- Be part of the team inventing the future of mobility and road safety
- Move fast, own outcomes, do work that matters
- High ownership, small teams, and direct access to leadership — no layers between your work and its impact
- Unlimited PTO, flexible scheduling, competitive salary, annual performance bonus, RSUs, and full benefits including medical, dental, vision, and 401k match
- Summer Fridays provide team members with half days to recharge
- Join one of our employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness
- Comprehensive wellness, education, and employee assistance programs
Commitment to Diversity and Inclusion:
At CMT, we believe the best ideas come from a mix of backgrounds and perspectives.
We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team.
We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on Instagram @cmt.ai
About Cambridge Mobile Telematics:
Cambridge Mobile Telematics (CMT) is the world's largest telematics and AI company for safer mobility. Its mission is to make the world's roads and drivers safer. The company's AI-driven platform, DriveWell Fusion®, proactively identifies and reduces driving risk, leading to fewer crashes and injuries. To date, CMT's technology has helped prevent over 126,000 crashes worldwide. CMT enables partners to measure risk, detect crashes, provide life-saving assistance, and streamline claims. Headquartered in Cambridge, MA, CMT operates globally with offices in Budapest, Hungary; Chennai, India; Seattle, Washington; Tokyo, Japan; and Zagreb, Croatia. Learn more at www.cmt.ai.
See All 75 Machine Learning Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find JobsMachine Learning Engineer Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Machine Learning Engineer 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
- Automotive
- Electronics & Hardware
- Banking & Financial Services
What Massachusetts Employers Look For
The qualifications that appear most often in machine learning engineer jobs across Massachusetts.
- Bachelor's or master's degree in computer science, statistics, or a closely related quantitative field
- Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience building, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms such as AWS, Google Cloud, or Microsoft Azure for model deployment
- Strong foundation in statistics, linear algebra, and applied mathematics for model development
- Ability to communicate model results and trade-offs clearly to non-technical stakeholders
Machine Learning Engineer Jobs in Massachusetts: Frequently Asked Questions
How do you become a machine learning engineer in Massachusetts?
Machine learning engineering has no state-issued license in Massachusetts, so the path runs through education and demonstrated technical skill. Most Massachusetts employers expect at least a bachelor's degree in computer science, mathematics, or engineering, and many prefer a master's or doctoral degree for research-heavy roles. Building a portfolio of real projects, contributing to open-source work, and completing internships with Massachusetts technology, biotech, or defense firms are the most reliable ways to move from study into a full-time role.
How much do machine learning engineers make in Massachusetts?
Machine learning 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 machine learning engineers in Massachusetts?
Employers hiring machine learning engineers in Massachusetts right now include Wayfair, Lila Sciences, and Whoop, based on current listings on Migrate Mate as of September 2026. Massachusetts's deep concentration of research hospitals, defense contractors, and life sciences firms means ML roles here often blend domain-specific data science with core software engineering.
Which Massachusetts cities have the most machine learning engineer jobs?
Boston, Cambridge, and Waltham hold the most machine learning engineer openings in Massachusetts. Boston and Cambridge dominate because of the dense cluster of universities, hospitals, and technology firms in those metros, while suburban Route 128 corridor communities contribute significantly through major defense and analytics employers with long-established campuses there.
Are there remote machine learning engineer jobs in Massachusetts?
Yes, and more than most fields. About 33% of machine learning engineer openings tied to Massachusetts are remote or hybrid as of September 2026, reflecting how naturally suited the work is to distributed teams. Roles focused on model research, data pipeline development, and experimentation tend to be the most remote-friendly, while positions requiring hands-on access to proprietary hardware or sensitive data are more likely to require on-site presence.
How can I get hired as a machine learning engineer in Massachusetts with little or no experience?
The most realistic entry path is a graduate or associate ML engineer role at a large Massachusetts employer with structured early-career programs, such as the technology divisions of Mass General Brigham, MathWorks, or defense firms in the Route 128 corridor. Candidates transitioning from adjacent roles like data analyst, software developer, or quantitative researcher have a strong foothold. A public portfolio of end-to-end projects, a completed master's degree, or a graduate research position at a Massachusetts university gives early-career applicants a clear advantage in the hiring process.
Where can I find and apply to machine learning engineer jobs in Massachusetts?
You can find and apply to machine learning engineer jobs in Massachusetts on Migrate Mate, which lists current openings from employers hiring in the state right now. Search the listings for roles that match your experience level and specialty, then apply directly to the ones that fit.
See All 75 Machine Learning Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Jobs