AI ML Engineering Visa Sponsorship Jobs in Massachusetts
Massachusetts is one of the country's most active states for AI and ML engineering hiring, driven by a concentration of biotech, robotics, and enterprise software companies in Greater Boston and Cambridge. Major employers including Google, Amazon, Microsoft, and homegrown firms like HubSpot and Wayfair regularly hire AI/ML engineers and have established visa sponsorship programs.
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Get Access To All JobsAbout The Job:
Berkshire Grey is a leader in the field of AI and robotics, providing innovative solutions for e-commerce, retail replenishment, and logistics. Our technology automates complex pick, pack, sort, and unload operations.
As part of the Scoop engineering team, you will develop new approaches to solving challenging trailer-unload computer vision problems for real-world robotic systems. Your work will help robots better perceive, reason about, and interact with dynamic trailer environments, including varied package types, shifting walls, confined spaces, and complex unload conditions. These efforts will enhance the performance, reliability, and throughput of our robotic unloading solutions while unlocking new value for customers. This position offers a unique opportunity to work at the cutting edge of robotics applied to one of the most demanding real-world logistics challenges.
Responsibilities:
- Develop solution prototypes for computer vision problems, to improve our robots’ ability to solve increasingly complex tasks at unprecedented speeds
- Quickly prototype solutions, creating demos for stakeholders and visitors
- Serve as subject matter for transitioning prototypes to product teams
- Identify high impact areas for improvements of our robotic systems to solve real problems
- Stay abreast of the latest advancements in robotics and related fields, evaluating applicability to our challenges
- Assist with mentorship of more junior engineers or interns
- Communicate technical priorities and status.
Minimum Qualifications:
- Master’s degree in Robotics, Machine Learning, Computer Vision, Computer Science or a closely related field.
- 4+ years of experience in software development with a focus on robotic manipulation or related areas.
- Strong development expertise in Python and C++.
- Experience with major deep learning frameworks such as PyTorch.
- Experience with data science tools & libraries like numpy, pandas, scipy, matplotlib, scikit-learn
- Demonstrated experience training and adapting of existing machine learning architectures for computer vision, such as CNNs/ViTs or VLMs, to solve tasks such as grasp estimation, object detection/segmentation, depth estimation, or anomaly/outlier detection
- Demonstrated proficiency to solve real world computer vision problems with machine learning
- Demonstrated ability to:
- Develop on and troubleshoot real robotic systems
- Determine and communicate justification of technical priorities
- Rapidly prototype and iterate on solutions to challenging problems
- Work independently on a variety of projects while maintaining focus
- Work in a fast-paced environment with changing priorities
- Mentor junior engineers
- Strong verbal and written communication skills, capable of explaining complex ideas clearly and concisely to both technical and non-technical stakeholders
- Provide technical leadership on key projects
Preferred Qualifications:
- MS / PhD in Machine Learning, Computer Vision, Computer Science or a closely related field.
- Demonstrated technical proficiency in computer vision applied to robotic manipulation, such as grasp estimation or long-tailed object detection & segmentation in clutter
- Experience with:
- Robotic vision sensors and camera to robot calibration
- Both RGB and depth data
- Collecting and training on real and synthetic datasets, including various forms of data augmentation
- Applying machine learning to hardware interacting with the real world
- Real-time perception-based control
- Robot simulators (e.g. Isaac Sim)
- Combining model-based and data-driven approaches
- Docker, cloud computing, or similar applications
- Experiment tracking and dataset management (e.g. Weights & Biases)
- Database systems as data source, such as MongoDB
- Parallel/distributed systems and asynchronous/concurrent programming
- ROS or ROS2
Possessing some of these preferred qualifications is great to have but not required and should not discourage applicants from applying.
6110-2607RS
About The Job:
Berkshire Grey is a leader in the field of AI and robotics, providing innovative solutions for e-commerce, retail replenishment, and logistics. Our technology automates complex pick, pack, sort, and unload operations.
As part of the Scoop engineering team, you will develop new approaches to solving challenging trailer-unload computer vision problems for real-world robotic systems. Your work will help robots better perceive, reason about, and interact with dynamic trailer environments, including varied package types, shifting walls, confined spaces, and complex unload conditions. These efforts will enhance the performance, reliability, and throughput of our robotic unloading solutions while unlocking new value for customers. This position offers a unique opportunity to work at the cutting edge of robotics applied to one of the most demanding real-world logistics challenges.
Responsibilities:
- Develop solution prototypes for computer vision problems, to improve our robots’ ability to solve increasingly complex tasks at unprecedented speeds
- Quickly prototype solutions, creating demos for stakeholders and visitors
- Serve as subject matter for transitioning prototypes to product teams
- Identify high impact areas for improvements of our robotic systems to solve real problems
- Stay abreast of the latest advancements in robotics and related fields, evaluating applicability to our challenges
- Assist with mentorship of more junior engineers or interns
- Communicate technical priorities and status.
Minimum Qualifications:
- Master’s degree in Robotics, Machine Learning, Computer Vision, Computer Science or a closely related field.
- 4+ years of experience in software development with a focus on robotic manipulation or related areas.
- Strong development expertise in Python and C++.
- Experience with major deep learning frameworks such as PyTorch.
- Experience with data science tools & libraries like numpy, pandas, scipy, matplotlib, scikit-learn
- Demonstrated experience training and adapting of existing machine learning architectures for computer vision, such as CNNs/ViTs or VLMs, to solve tasks such as grasp estimation, object detection/segmentation, depth estimation, or anomaly/outlier detection
- Demonstrated proficiency to solve real world computer vision problems with machine learning
- Demonstrated ability to:
- Develop on and troubleshoot real robotic systems
- Determine and communicate justification of technical priorities
- Rapidly prototype and iterate on solutions to challenging problems
- Work independently on a variety of projects while maintaining focus
- Work in a fast-paced environment with changing priorities
- Mentor junior engineers
- Strong verbal and written communication skills, capable of explaining complex ideas clearly and concisely to both technical and non-technical stakeholders
- Provide technical leadership on key projects
Preferred Qualifications:
- MS / PhD in Machine Learning, Computer Vision, Computer Science or a closely related field.
- Demonstrated technical proficiency in computer vision applied to robotic manipulation, such as grasp estimation or long-tailed object detection & segmentation in clutter
- Experience with:
- Robotic vision sensors and camera to robot calibration
- Both RGB and depth data
- Collecting and training on real and synthetic datasets, including various forms of data augmentation
- Applying machine learning to hardware interacting with the real world
- Real-time perception-based control
- Robot simulators (e.g. Isaac Sim)
- Combining model-based and data-driven approaches
- Docker, cloud computing, or similar applications
- Experiment tracking and dataset management (e.g. Weights & Biases)
- Database systems as data source, such as MongoDB
- Parallel/distributed systems and asynchronous/concurrent programming
- ROS or ROS2
Possessing some of these preferred qualifications is great to have but not required and should not discourage applicants from applying.
6110-2607RS
AI ML Engineering Job Roles in Massachusetts
See all 716+ AI ML Engineering Jobs in Massachusetts
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Search AI ML Engineering Jobs in MassachusettsAI ML Engineering Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Massachusetts?
Several large employers in Massachusetts have consistent track records of sponsoring H-1B visas for AI and ML engineering roles. These include Google and Amazon in Cambridge, Microsoft in Kendall Square, Wayfair and HubSpot in Boston, and a range of biotech and medtech companies like Biogen and Philips Healthcare. Mid-size AI-focused startups in the Greater Boston area also sponsor, though less predictably than large tech employers.
Which visa types are most common for AI ML engineering roles in Massachusetts?
The H-1B is by far the most common visa for AI and ML engineers in Massachusetts, given that these roles almost universally require a bachelor's degree or higher in computer science, mathematics, or a closely related field, meeting the specialty occupation standard. Candidates who complete graduate programs at MIT, Harvard, or Boston University often transition from F-1 OPT or STEM OPT before their employer pursues H-1B sponsorship. The O-1A is an option for candidates with documented research recognition or publications.
Which cities in Massachusetts have the most AI ML engineering sponsorship jobs?
Cambridge and Boston account for the large majority of AI and ML engineering sponsorship opportunities in Massachusetts. Cambridge's Kendall Square is home to Google, Microsoft, and numerous AI research labs. Boston proper concentrates enterprise software, fintech, and health tech employers. Somerville and Waltham have growing clusters of mid-size AI companies. Outside Greater Boston, Worcester has a smaller but emerging tech presence connected to WPI's engineering programs.
How to find ai ml engineering visa sponsorship jobs in Massachusetts?
Migrate Mate filters AI and ML engineering jobs specifically by visa sponsorship status, so you're not sorting through postings from employers who won't sponsor. For Massachusetts, you can browse roles concentrated in Cambridge, Boston, and Somerville, covering employers across enterprise software, biotech, and robotics. Migrate Mate also surfaces H-1B filing history context to help you assess which employers have active sponsorship programs for technical engineering roles.
Are there any state-specific considerations for AI ML engineers pursuing sponsorship in Massachusetts?
Massachusetts has a high concentration of research universities feeding directly into the local AI and ML job market, which means employer familiarity with OPT-to-H-1B transitions is generally higher here than in less tech-dense states. The state also has a strong biotech corridor where AI engineers work on regulated healthcare applications, which can involve additional compliance requirements at the project level. Employers in Cambridge's Kendall Square are experienced with sponsorship for research-oriented and applied ML roles specifically.
What is the prevailing wage for sponsored ai ml engineering 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.