AI ML Engineer Visa Sponsorship Jobs in Massachusetts
Massachusetts is one of the most active states for AI/ML engineer hiring, driven by Boston's dense concentration of biotech firms, research universities, and technology companies. Major employers including Google, Amazon, Microsoft, and a wave of AI-focused startups in the Kendall Square and Seaport District corridors regularly sponsor visas for qualified candidates.
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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 Engineer Job Roles in Massachusetts
See all 722+ AI ML Engineer Jobs in Massachusetts
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Search AI ML Engineer Jobs in MassachusettsAI ML Engineer Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for AI/ML engineers in Massachusetts?
Large technology employers with significant Massachusetts operations, including Google, Amazon Web Services, Microsoft, and IBM, have consistent track records of sponsoring H-1B visas for AI/ML engineers. Beyond those, Boston-area biotech firms such as Biogen and Moderna, as well as AI-focused startups clustered around Kendall Square in Cambridge, regularly file H-1B petitions for machine learning and AI roles.
Which visa types are most common for AI/ML engineer roles in Massachusetts?
The H-1B is the most common visa category for AI/ML engineers in Massachusetts, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, mathematics, or a related field. Candidates with exceptional research records may also be considered for the O-1A visa. International students completing degrees at MIT, Harvard, or Northeastern often begin on F-1 OPT or STEM OPT before transitioning to H-1B sponsorship.
How to find ai ml engineer visa sponsorship jobs in Massachusetts?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse AI/ML engineer openings in Massachusetts without sorting through roles that won't support international candidates. You can narrow results to Massachusetts employers actively hiring for machine learning, deep learning, and AI research positions, saving significant time during a job search where sponsorship eligibility is the primary constraint.
Which cities in Massachusetts have the most AI/ML engineer sponsorship jobs?
Cambridge and Boston account for the large majority of AI/ML engineer sponsorship activity in the state. Cambridge's Kendall Square hosts a high density of AI startups, research labs, and established tech companies. Boston's Seaport and Back Bay districts are home to financial technology and enterprise software employers. Worcester and Burlington also have notable concentrations of technology employers with sponsorship histories, particularly in defense technology and enterprise software sectors.
Are there any Massachusetts-specific factors AI/ML engineers should know before pursuing visa sponsorship?
Massachusetts employers filing H-1B petitions for AI/ML engineers must meet Department of Labor prevailing wage requirements, which reflect the state's competitive technology market. The strong university pipeline from MIT, Harvard, Boston University, and Northeastern means employers are accustomed to sponsoring early-career international candidates, particularly those completing graduate degrees. Research-oriented roles at university-affiliated institutions may also qualify for cap-exempt H-1B sponsorship, which is not subject to the annual lottery.
What is the prevailing wage for sponsored ai 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.