Edge ML Engineer for Robotics & Physical AI

Motion Recruitment Partners LLC; Burlington (MA); Hybrid; USD 135,000 - 175,000; Full time

Benefits offered by this job

Medical Insurance

Dental Benefits

Vision Benefits

Flexible PTO

401(k) with employer match

Parental Leave

Professional Development Assistance

Team events

Job summary

Motion Recruitment Partners LLC in Burlington, MA, seeks a Machine Learning Engineer, Robotics & Physical AI to design, train, deploy, and optimize AI for robotic systems. You will collaborate with software, robotics, controls, and hardware engineers to bring AI models into production on real-world hardware.

The role emphasizes ownership of end-to-end development, from experiments and architecture through deployment, validation, and ongoing improvement of AI systems on physical machines in a

Qualifications

• 4+ years of experience in ML, AI, robotics or related field.
• Strong Python programming.
• Experience deploying ML models to production.

Responsibilities

• Design, train, evaluate, and deploy ML models for robotic/autonomous systems.
• Develop perception and decision-making for intelligent machines.
• Integrate AI models with production hardware and software stacks.
• Build data collection, training, evaluation, and monitoring pipelines.
• Optimize models for edge devices and real-time robotics.
• Prototype and validate new ML techniques to improve autonomy.

Skills

4+ years ML/AI/Robotics

Python

Production deployment

PyTorch or TensorFlow

Computer vision / perception

Linux

Data pipelines / evaluation

Hardware interaction

Git / CI/CD

Education

Bachelor's in CS / ML / Robotics / EE

Tools

ROS / ROS 2

ONNX Runtime / TensorRT

Edge AI platforms

Job description

Motion Recruitment Partners LLC in Burlington, MA, seeks a Machine Learning Engineer, Robotics & Physical AI to design, train, deploy, and optimize AI for robotic systems. You will collaborate with software, robotics, controls, and hardware engineers to bring AI models into production on real-world hardware.

The role emphasizes ownership of end-to-end development, from experiments and architecture through deployment, validation, and ongoing improvement of AI systems on physical machines in a