ML Engineer Visa Sponsorship Jobs in Massachusetts
Massachusetts is one of the strongest states for ML engineer visa sponsorship, with major employers like Amazon, Microsoft, HubSpot, and Wayfair concentrated in Greater Boston and Cambridge. The Route 128 tech corridor and a dense cluster of biotech and AI research firms create steady demand for machine learning talent requiring H-1B visa and other work visa support.
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Get Access To All JobsINTRODUCTION
At Universal Robots, part of Teradyne Inc., our vision is to create a world where people work with robots, not like robots. And as the market leader with 75,000+ collaborative robots (cobots) already installed worldwide, we’re well on the way to achieving it. We employ 1000+ people in offices across North America, South America, Europe and Asia and we’re growing all the time. Our team is made up of smart, creative people working at the forefront of automation. Together we find innovative solutions to some of the most important manufacturing issues facing businesses today. We dare to do what others find impossible—working with advanced technologies to change the way businesses operate. So if you’re looking to build your career with a groundbreaking technology company in a dynamic environment with career advancement, UR is the place for you.
OUR PURPOSE:
TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought in our workforce. Our employees are supported to innovate and learn something new every day.
We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation, and delivers better business results.
OPPORTUNITY OVERVIEW
We're seeking an exceptional Senior AI/ML Engineer to join our advanced Physical AI engineering team at the forefront of industrial robotic innovation. This role sits at the intersection of cutting-edge AI technology and real-world product deployment, where you'll help define what's possible in physical AI for both autonomous mobile robots (AMRs) and industrial robotic arms.
Our team is building differentiating solutions that push the boundaries of what robots can perceive, understand, and interact with in dynamic real-world environments. You'll work alongside world-class engineers to deliver full-stack AI solutions that don't just work in simulation—they thrive in our customers' facilities.
Teradyne Robotics is transforming industrial automation through intelligent robotic solutions. Our portfolio includes Universal Robots (UR), the global leader in collaborative cobots, and Mobile Industrial Robots (MiR), pioneers in autonomous mobile robots. Together, we're building the future of flexible, intelligent automation for manufacturing and logistics environments worldwide.
You'll lead the development and deployment of physical AI capabilities that enable robots to navigate, manipulate, and interact with their environments with unprecedented intelligence. This includes advancing our work in obstacle detection, object identification and classification, pose estimation, SLAM technologies, and precision localization systems.
Working across our platform for simulation and data generation, you'll help engineer solutions that leverage diverse sensor modalities—from RGBD cameras and LiDAR to Time-of-Flight sensors—making informed trade-offs based on performance, cost, and application requirements. You'll be responsible for taking AI innovations from concept through production deployment and ongoing customer support.
As a senior member of the team, you'll collaborate closely with R&D teams at Universal Robots and Mobile Industrial Robots, helping shape the future of collaborative robotics and autonomous mobile platforms across the Teradyne Robotics portfolio.
Critical to this role: You must approach your work with scientific rigor. This means deeply understanding the performance characteristics, quality metrics, and limitations of every model you build. You'll need to systematically analyze how successive training runs impact these qualities, maintaining clear visibility into what's improving, what's regressing, and why. We build solutions our customers trust, and that trust is earned through rigorous validation and honest assessment of capabilities and boundaries.
ALL ABOUT YOU
- Deep understanding of sensor technologies (RGBD, LiDAR, ToF, etc.) and the ability to architect solutions that leverage their respective strengths and limitations
- Experience shipping AI-powered products to market and supporting them in production customer environments
- Good software engineering fundamentals with experience integrating AI/ML capabilities into existing robotics software stacks
- Expertise in data science and data engineering—you understand that great AI solutions are built on great data
- Collaborative mindset with experience working in cross-functional teams building complete systems, not just isolated algorithms
- Demonstrated ability to rigorously evaluate ML model performance, establish meaningful metrics, and track quality across training iterations
- Experience utilizing simulation environments to accelerate engineering and validation workflows
TECHNICAL EXPERTISE:
- Core robotics AI concepts: obstacle detection, object identification and classification, pose estimation
- Various SLAM approaches and their trade-offs
- Localization techniques from precision to relative positioning
- Experience working with both robotic manipulators and mobile platforms
- Hands-on experience with NVIDIA Isaac platform and tools
- Background working with AMRs or industrial robotic arms in production settings
- Knowledge of and interest in the emerging field of Vision-Language-Action (VLA) models and their application to robotics
- Contributions to robotics or AI research communities
WHY THIS ROLE MATTERS
You'll be joining a team that's already delivered mature platforms for simulation and data generation across multiple problem domains. We're not just building technology for tomorrow—we're deploying it today, solving real problems for customers in industrial automation while continuously pushing the state of the art. At Teradyne Robotics, you'll have the unique opportunity to impact both mobile robotics and collaborative manipulation platforms used by thousands of customers worldwide.
If you're energized by the challenge of making advanced AI work reliably in the physical world, we want to hear from you.
This is an onsite position with remote flexibility. Some travel will be required.
COMPENSATION:
The base salary range for this role is $219,800-$351,700. This range is a good faith estimate, and the amount of base salary will correspond with experience and skill set. This range can also fluctuate depending on demand and location.
Incentive Plan: This job is eligible for discretionary bonus(es) based on financial performance.
BENEFITS:
Teradyne offers a variety of robust health and well-being benefit programs, including medical, dental, vision, Flexible Spending Accounts, retirement savings plans, life and disability insurance, paid vacation & holidays, tuition assistance programs, and more. Please click here to see details.
INTRODUCTION
At Universal Robots, part of Teradyne Inc., our vision is to create a world where people work with robots, not like robots. And as the market leader with 75,000+ collaborative robots (cobots) already installed worldwide, we’re well on the way to achieving it. We employ 1000+ people in offices across North America, South America, Europe and Asia and we’re growing all the time. Our team is made up of smart, creative people working at the forefront of automation. Together we find innovative solutions to some of the most important manufacturing issues facing businesses today. We dare to do what others find impossible—working with advanced technologies to change the way businesses operate. So if you’re looking to build your career with a groundbreaking technology company in a dynamic environment with career advancement, UR is the place for you.
OUR PURPOSE:
TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought in our workforce. Our employees are supported to innovate and learn something new every day.
We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation, and delivers better business results.
OPPORTUNITY OVERVIEW
We're seeking an exceptional Senior AI/ML Engineer to join our advanced Physical AI engineering team at the forefront of industrial robotic innovation. This role sits at the intersection of cutting-edge AI technology and real-world product deployment, where you'll help define what's possible in physical AI for both autonomous mobile robots (AMRs) and industrial robotic arms.
Our team is building differentiating solutions that push the boundaries of what robots can perceive, understand, and interact with in dynamic real-world environments. You'll work alongside world-class engineers to deliver full-stack AI solutions that don't just work in simulation—they thrive in our customers' facilities.
Teradyne Robotics is transforming industrial automation through intelligent robotic solutions. Our portfolio includes Universal Robots (UR), the global leader in collaborative cobots, and Mobile Industrial Robots (MiR), pioneers in autonomous mobile robots. Together, we're building the future of flexible, intelligent automation for manufacturing and logistics environments worldwide.
You'll lead the development and deployment of physical AI capabilities that enable robots to navigate, manipulate, and interact with their environments with unprecedented intelligence. This includes advancing our work in obstacle detection, object identification and classification, pose estimation, SLAM technologies, and precision localization systems.
Working across our platform for simulation and data generation, you'll help engineer solutions that leverage diverse sensor modalities—from RGBD cameras and LiDAR to Time-of-Flight sensors—making informed trade-offs based on performance, cost, and application requirements. You'll be responsible for taking AI innovations from concept through production deployment and ongoing customer support.
As a senior member of the team, you'll collaborate closely with R&D teams at Universal Robots and Mobile Industrial Robots, helping shape the future of collaborative robotics and autonomous mobile platforms across the Teradyne Robotics portfolio.
Critical to this role: You must approach your work with scientific rigor. This means deeply understanding the performance characteristics, quality metrics, and limitations of every model you build. You'll need to systematically analyze how successive training runs impact these qualities, maintaining clear visibility into what's improving, what's regressing, and why. We build solutions our customers trust, and that trust is earned through rigorous validation and honest assessment of capabilities and boundaries.
ALL ABOUT YOU
- Deep understanding of sensor technologies (RGBD, LiDAR, ToF, etc.) and the ability to architect solutions that leverage their respective strengths and limitations
- Experience shipping AI-powered products to market and supporting them in production customer environments
- Good software engineering fundamentals with experience integrating AI/ML capabilities into existing robotics software stacks
- Expertise in data science and data engineering—you understand that great AI solutions are built on great data
- Collaborative mindset with experience working in cross-functional teams building complete systems, not just isolated algorithms
- Demonstrated ability to rigorously evaluate ML model performance, establish meaningful metrics, and track quality across training iterations
- Experience utilizing simulation environments to accelerate engineering and validation workflows
TECHNICAL EXPERTISE:
- Core robotics AI concepts: obstacle detection, object identification and classification, pose estimation
- Various SLAM approaches and their trade-offs
- Localization techniques from precision to relative positioning
- Experience working with both robotic manipulators and mobile platforms
- Hands-on experience with NVIDIA Isaac platform and tools
- Background working with AMRs or industrial robotic arms in production settings
- Knowledge of and interest in the emerging field of Vision-Language-Action (VLA) models and their application to robotics
- Contributions to robotics or AI research communities
WHY THIS ROLE MATTERS
You'll be joining a team that's already delivered mature platforms for simulation and data generation across multiple problem domains. We're not just building technology for tomorrow—we're deploying it today, solving real problems for customers in industrial automation while continuously pushing the state of the art. At Teradyne Robotics, you'll have the unique opportunity to impact both mobile robotics and collaborative manipulation platforms used by thousands of customers worldwide.
If you're energized by the challenge of making advanced AI work reliably in the physical world, we want to hear from you.
This is an onsite position with remote flexibility. Some travel will be required.
COMPENSATION:
The base salary range for this role is $219,800-$351,700. This range is a good faith estimate, and the amount of base salary will correspond with experience and skill set. This range can also fluctuate depending on demand and location.
Incentive Plan: This job is eligible for discretionary bonus(es) based on financial performance.
BENEFITS:
Teradyne offers a variety of robust health and well-being benefit programs, including medical, dental, vision, Flexible Spending Accounts, retirement savings plans, life and disability insurance, paid vacation & holidays, tuition assistance programs, and more. Please click here to see details.
ML Engineer Job Roles in Massachusetts
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Search ML Engineer Jobs in MassachusettsML Engineer Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for ML engineers in Massachusetts?
Several large employers in Massachusetts have a documented history of sponsoring work visas for ML engineers. Amazon, Microsoft, Wayfair, HubSpot, and Biogen consistently file H-1B petitions for machine learning roles. Boston-area AI startups and biotech firms, including those clustered around Kendall Square in Cambridge, also sponsor regularly, though their volume is smaller than enterprise employers.
Which visa types are most common for ML engineer roles in Massachusetts?
The H-1B is by far the most common visa for ML engineers in Massachusetts, as the role qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with extraordinary ability may qualify for the O-1A. Recent graduates on F-1 OPT, particularly those with STEM degrees, can work for up to three years before needing employer-sponsored H-1B status.
How to find ml engineer visa sponsorship jobs in Massachusetts?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify ML engineer roles in Massachusetts where employers are actively open to sponsoring. Rather than sorting through general job boards, you can search directly for machine learning positions in Boston, Cambridge, and surrounding tech hubs where sponsorship is confirmed, saving time during a job search that often runs on a tight visa timeline.
Which cities in Massachusetts have the most ML engineer sponsorship jobs?
Boston and Cambridge together account for the majority of ML engineer sponsorship activity in Massachusetts. Cambridge's Kendall Square is particularly dense with AI-focused companies and research institutions. Waltham and Burlington along the Route 128 corridor host established tech and biotech employers who regularly sponsor. Worcester has a smaller but growing presence tied to university-affiliated research and regional tech employers.
Are there any Massachusetts-specific factors ML engineers should know about visa sponsorship?
Massachusetts employers sponsoring H-1B workers must meet Department of Labor prevailing wage requirements, which in the Boston metro area reflect a high-cost, competitive market for ML talent. The state's strong university pipeline, including MIT, Harvard, and Northeastern, means many sponsored candidates transition from F-1 OPT. Biotech and AI research firms in the area often sponsor for highly specialized roles, which can strengthen the specialty occupation determination in an H-1B petition.
What is the prevailing wage for sponsored ml engineer jobs in Massachusetts?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.