ML Software Engineer Visa Sponsorship Jobs in Massachusetts
Massachusetts is one of the strongest states for ML software engineer visa sponsorship, anchored by Greater Boston's concentration of AI research labs, biotech firms, and technology companies. Major employers including Amazon, Google, Microsoft, and HubSpot maintain significant engineering offices here, alongside MIT and Harvard spinouts that regularly hire ML engineers requiring H-1B visa sponsorship.
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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
ML Software Engineer Job Roles in Massachusetts
See all 716+ ML Software Engineer Jobs in Massachusetts
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Search ML Software Engineer Jobs in MassachusettsML Software Engineer Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for ML software engineers in Massachusetts?
Several large technology and life sciences employers in Massachusetts have consistent H-1B sponsorship records for ML software engineers. Amazon, Google, Microsoft, HubSpot, Wayfair, Biogen, and Moderna have all filed LCAs for ML-related roles in the state. Boston-area AI startups and research-driven firms spun out of MIT and Harvard also sponsor, though their hiring volumes are smaller and less predictable than established technology employers.
Which visa types are most common for ML software engineer roles in Massachusetts?
The H-1B is by far the most common visa for ML software engineers in Massachusetts, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. OPT and STEM OPT extensions are also widely used by recent graduates from Massachusetts universities. Candidates with extraordinary ability may pursue the O-1A, though it requires substantial documentation of achievement.
Which cities in Massachusetts have the most ML software engineer sponsorship jobs?
Greater Boston, including Cambridge and Somerville, concentrates the overwhelming majority of ML software engineer sponsorship opportunities in Massachusetts. Cambridge is particularly dense, home to major technology offices and research institutions including MIT. Burlington and Waltham along Route 128 host a secondary cluster of technology and life sciences employers. Outside this corridor, sponsorship opportunities drop off significantly.
How to find ml software engineer visa sponsorship jobs in Massachusetts?
Migrate Mate is a job board built specifically for international candidates seeking visa sponsorship in the U.S., including ML software engineer roles in Massachusetts. You can filter directly by state and job category to surface employers who have active openings and a documented history of sponsoring work visas. This saves considerable time compared to manually researching which Massachusetts employers support H-1B or OPT candidates.
Are there state-specific considerations for ML software engineers seeking sponsorship in Massachusetts?
Massachusetts benefits from one of the deepest ML talent pipelines in the country, fed by MIT, Harvard, Northeastern, and Boston University. This means competition for sponsored roles is high, particularly at well-known employers. The state's strong life sciences sector also creates ML engineering demand outside pure technology companies, with pharmaceutical and medical device firms increasingly hiring for applied ML roles. Prevailing wage requirements apply statewide and are determined by the Department of Labor based on the specific job location and level.
What is the prevailing wage for sponsored ml software 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.