Machine Learning Engineer, Physical Ai Systems - Westborough, Ma

Motion Recruitment; Westborough (MA); On-site; USD 140,000 - 170,000; Full time

Benefits offered by this job

Employee Stock Purchase Program

Equity opportunities

Job summary

Motion Recruitment is seeking a Machine Learning Engineer, Physical AI Systems for its robotics team in Westborough, MA. You will design, train, and deploy ML models enabling autonomous robots to perceive and interact with the physical world.

Responsibilities include developing perception systems, collaborating with software and hardware teams, and deploying models to production in automated fulfillment environments. A strong background in CV, robotics, and Python is required.

Qualifications

• 3+ years of industry experience in ML, AI, robotics, CV, or related field.
• Strong Python programming experience.
• Experience deploying ML models into production.
• Experience with PyTorch or TensorFlow.
• Strong computer vision and perception systems knowledge.
• Experience with large-scale datasets and training pipelines.
• Familiarity with Linux development environments.
• Knowledge of software engineering practices (tests, Git, CI/CD).
• Ability to collaborate with software and hardware teams.
• Bachelor’s degree in CS/Robotics/EE.

Responsibilities

• Design, train, evaluate, and deploy ML models for object identification and manipulation.
• Develop CV systems to distinguish boxes, totes, packages, and inventory items.
• Build perception models for robotic grasping and motion planning.
• Partner with software engineers to integrate models into production systems.
• Analyze robot performance data to improve accuracy and efficiency.
• Develop training/evaluation pipelines from deployed platforms.
• Optimize models for low-latency inference on robotic hardware.
• Design experiments to improve manipulation success rates.
• Validate model performance through lab testing and simulation.
• Contribute to next-gen Physical AI systems combining perception, decision, and control.

Skills

Python

Machine Learning

Computer Vision

Cross-functional teamwork

Production deployment

CI/CD

Git

Linux

Soft robotics collaboration

Edge devices

Education

Bachelor’s degree in CS/Robotics/EE

Tools

PyTorch

TensorFlow

ROS/ROS2

Git

CI/CD

Job description

Job Description A global leader in advanced robotics and automation is seeking a Machine Learning Engineer, Physical AI Systems to join its robotics engineering organization in Westborough, Massachusetts.

This role focuses on developing machine learning systems that enable autonomous robots to perceive, understand, and interact with the physical world. You will build and deploy AI models that help robotic platforms identify products, determine optimal grasp points, manipulate objects, and transport inventory safely and efficiently throughout highly automated fulfillment environments.

Working at the intersection of machine learning, computer vision, robotics, and large-scale automation, you will collaborate with software engineers, roboticists, and hardware teams to solve real-world challenges involving robotic picking, package handling, object recognition, and autonomous movement. Your work will directly impact the performance of robotic systems responsible for moving millions of items through complex operational environments.

This is a full-time employee (FTE) position based in Westborough, MA, with regular onsite collaboration in robotics development labs and testing facilities.

Required Skills & Experience

• 3+ years of industry experience in Machine Learning, Artificial Intelligence, Robotics, Computer Vision, or a related technical field
• Strong programming experience in Python
• Experience developing and deploying machine learning models into production environments
• Experience with deep learning frameworks such as PyTorch or TensorFlow
• Strong understanding of computer vision, object detection, segmentation, and perception systems
• Experience working with large-scale datasets and training pipelines
• Familiarity with Linux development environments
• Knowledge of software engineering best practices, including testing, Git, code reviews, and CI/CD
• Ability to work closely with both software and hardware engineering teams
• Bachelor's degree in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related technical discipline

Desired Skills & Experience

• Experience with robotics platforms and autonomous systems
• Knowledge of ROS or ROS 2
• Experience with robotic manipulation, grasp planning, or motion planning
• Familiarity with RGB, depth camera, stereo vision, LiDAR, or multimodal sensor systems
• Experience deploying machine learning models onto edge devices or robotic hardware
• Exposure to reinforcement learning, imitation learning, or behavior modeling
• Familiarity with simulation environments such as Isaac Sim, Gazebo, or related robotics tools
• Master's degree or Ph.D. in a related field

What You Will Be Doing Daily Responsibilities

• Design, train, evaluate, and deploy machine learning models that enable robots to identify, locate, and manipulate physical objects
• Develop computer vision systems that help robots distinguish boxes, totes, packages, and inventory items under varying environmental conditions
• Build perception models that determine how robotic arms should approach, grasp, lift, and move objects of different sizes, shapes, and weights
• Partner with robotics software engineers to integrate machine learning models into production robotic systems
• Analyze real-world robot performance data to improve picking accuracy, handling efficiency, and system reliability
• Develop training and evaluation pipelines using data collected from deployed robotic platforms
• Optimize machine learning models for low-latency inference on physical robotic hardware
• Design experiments to improve robotic manipulation success rates across challenging operational scenarios
• Validate model performance through lab testing, simulation, and real-world robotic deployments
• Contribute to the development of next-generation Physical AI systems that combine perception, decision-making, and robotic control

The Offer

• Full-time employee (FTE) opportunity based in Westborough, MA
• Competitive base salary: $140,000 - $170,000
• Annual performance bonus eligibility
• Employee stock purchase program and equity opportunities
• Career advancement within a world-class robotics and machine learning organization
• Opportunity to develop cutting-edge Physical AI technologies deployed at massive scale
• Collaborative environment focused on innovation, experimentation, and technical excellence

You will receive the following benefits

• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k) with company match
• Employee Stock Purchase Program
• Paid Parental Leave
• Life and Disability Insurance
• Professional Development Resources

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Posted By: Nick Ramler