Machine Learning Engineer Visa Sponsorship Jobs in Massachusetts
Massachusetts is one of the strongest states for machine learning engineer visa sponsorship, driven by Boston's dense concentration of tech, biotech, and AI research employers. Companies like Amazon, Microsoft, Google, IBM, and MIT Lincoln Laboratory hire regularly in Cambridge, Boston, and Waltham, making the state a consistent source of H-1B visa and O-1 visa sponsorship opportunities for ML engineers.
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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.
Machine Learning Engineer Job Roles in Massachusetts
See all 190+ Machine Learning Engineer Jobs in Massachusetts
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Search Machine Learning Engineer Jobs in MassachusettsMachine Learning Engineer Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in Massachusetts?
Major H-1B sponsors for machine learning engineers in Massachusetts include Amazon, Microsoft, Google, IBM, Meta, Wayfair, HubSpot, Biogen, and a dense cluster of AI-focused startups in Cambridge and Boston. MIT-affiliated spinouts and biotech firms increasingly hire ML engineers to build research infrastructure, making Massachusetts one of the more active states for employer-sponsored visa petitions in this role.
Which visa types are most common for machine learning engineer roles in Massachusetts?
The H-1B is by far the most common visa for machine learning engineers in Massachusetts, as the role meets USCIS specialty occupation requirements given its reliance on advanced degrees in computer science, statistics, or a related field. O-1A visas apply for engineers with exceptional ability or recognition. Some candidates with Canadian or Mexican citizenship use TN visa status under the computer systems analyst category, though ML-specific TN eligibility depends on the exact job duties.
Which cities in Massachusetts have the most machine learning engineer sponsorship jobs?
Cambridge and Boston together account for the majority of machine learning engineer sponsorship activity in Massachusetts, anchored by MIT, Harvard, and the surrounding tech and biotech corridor. Waltham and Burlington host significant employer campuses including Oracle, Raytheon, and Analog Devices. Somerville's Assembly Row and the Seaport District in Boston have also grown as hubs for AI-focused companies hiring internationally.
How to find machine learning engineer visa sponsorship jobs in Massachusetts?
Migrate Mate is built specifically for international candidates seeking visa sponsorship and filters machine learning engineer roles by state, so you can browse Massachusetts-specific openings from employers with verified sponsorship histories. Because sponsorship policies vary significantly even within large companies, focusing your search on employers with a documented track record of H-1B filings for ML engineers in Massachusetts gives you the clearest signal of where to apply.
Are there any state-specific considerations for machine learning engineers seeking sponsorship in Massachusetts?
Massachusetts has a highly competitive talent market anchored by MIT, Harvard, Northeastern, and Boston University, which means employers are accustomed to hiring internationally and navigating visa sponsorship. The state's concentration of federally funded research institutions and defense contractors means some roles require security clearances, which can complicate or preclude sponsorship for non-citizens. Prevailing wage requirements for H-1B petitions are set at the Boston-Cambridge-Newton metropolitan level and tend to be among the higher wage tiers nationally.
What is the prevailing wage for sponsored machine learning 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.