Senior ML Engineer Visa Sponsorship Jobs in Massachusetts
Massachusetts is one of the strongest markets for senior ML engineer visa sponsorship in the U.S., driven by Boston's dense concentration of AI research institutions, biotech firms, and enterprise tech companies. Major employers include Amazon, Google, Microsoft, and a growing cluster of ML-focused startups and academic spinouts headquartered in Cambridge and the Greater Boston area.
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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.
Senior ML Engineer Job Roles in Massachusetts
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Search Senior ML Engineer Jobs in MassachusettsSenior ML Engineer Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for senior ML engineers in Massachusetts?
Major sponsors in Massachusetts include Amazon, Google, Microsoft, HubSpot, Wayfair, and a large number of biotech and AI startups concentrated in Cambridge and Boston. Academic medical centers like Mass General Brigham also hire senior ML engineers for applied research roles. Sponsorship patterns are most consistent at mid-to-large tech employers with established immigration programs and dedicated HR infrastructure.
Which visa types are most common for senior ML engineer roles in Massachusetts?
The H-1B visa is the most common visa for senior ML engineers in Massachusetts, as the role qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. Australian citizens may pursue the E-3 visa. Candidates with extraordinary ability in AI research sometimes qualify for the O-1A. Employers at universities or affiliated research institutions may also file cap-exempt H-1B visa petitions.
Which cities in Massachusetts have the most senior ML engineer sponsorship jobs?
Cambridge and Boston together account for the overwhelming majority of senior ML engineer sponsorship jobs in Massachusetts. Cambridge hosts Kendall Square, one of the densest concentrations of AI and biotech employers in the country, including MIT spinouts and major tech office locations. Somerville, Waltham, and Burlington also have active employer clusters, particularly in enterprise software, defense technology, and healthcare analytics.
How to find senior ml engineer visa sponsorship jobs in Massachusetts?
Migrate Mate filters job listings specifically for roles that include visa sponsorship, so you can browse senior ML engineer positions in Massachusetts without sorting through companies that won't support international candidates. The platform is built for this use case, covering employers across Boston, Cambridge, and surrounding areas. Searching by role and state on Migrate Mate surfaces opportunities at both established tech employers and high-growth AI startups.
Are there state-specific considerations for senior ML engineers pursuing sponsorship in Massachusetts?
Massachusetts employers filing H-1B petitions must meet Department of Labor prevailing wage requirements for the Boston-Cambridge-Nashua metropolitan area, which reflects a high cost of living and competitive local market. The state's deep university pipeline, including MIT, Harvard, and Northeastern, creates strong employer familiarity with visa sponsorship processes. Biotech and AI research roles in the area often intersect with federal grant funding, which can affect hiring timelines and visa eligibility at some institutions.
What is the prevailing wage for sponsored senior 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.