Robotics ML Engineer: Physical AI & Edge Deployment

Motion Recruitment; 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 company contribution

Paid Parental Leave

Professional Development Assistance

Team Events

Job summary

Motion Recruitment is seeking a Machine Learning Engineer focused on Robotics & Physical AI in Burlington, MA. The role blends ML with real-world robotic deployment across sensors, vision, and automation platforms.

The engineer will own the development lifecycle from experimentation to deployment, collaborating with software, robotics, controls, and hardware teams to drive autonomous decision-making in practical environments.

Qualifications

• 4+ years of experience in Machine Learning, AI, Robotics, or a related field.
• Strong programming experience in Python.
• Experience deploying ML models in production environments.
• Solid understanding of deep learning frameworks such as PyTorch or TensorFlow.
• Experience working with computer vision, perception systems, sensor fusion, or robotics-related ML applications.
• Familiarity with Linux development environments.
• Strong understanding of data pipelines, model evaluation, experimentation, and performance optimization.
• Experience implementing ML solutions that interact with real-world systems or hardware.
• Knowledge of software engineering best practices including Git, testing, and CI/CD.

Responsibilities

• Design, train, evaluate, and deploy machine learning models that drive robotic and autonomous systems.
• Develop perception, vision, and decision-making capabilities for next-generation intelligent machines.
• Work alongside robotics and software engineers to integrate AI models into production hardware environments.
• Build data collection, training, evaluation, and monitoring pipelines.
• Optimize models for deployment on edge devices and real-time robotic platforms.
• Develop and improve computer vision systems using cameras, sensors, and multimodal data sources.
• Prototype and validate new machine learning techniques that improve system performance and autonomy.
• Create testing and validation frameworks to ensure reliable model behavior in production environments.
• Analyze system performance and continuously refine models using operational and experimental data.
• Contribute to the technical direction of emerging Physical AI and robotics products.

Skills

Python

Machine Learning

Robotics

Deep Learning

Computer Vision

Linux

Data Pipelines

Git

CI/CD

ROS / ROS 2

Education

Bachelor's degree in Computer Science, Machine Learning, Robotics, Electrical Engineering, or related field

Tools

PyTorch

TensorFlow

OpenCV

Job description

Motion Recruitment is seeking a Machine Learning Engineer focused on Robotics & Physical AI in Burlington, MA. The role blends ML with real-world robotic deployment across sensors, vision, and automation platforms.

The engineer will own the development lifecycle from experimentation to deployment, collaborating with software, robotics, controls, and hardware teams to drive autonomous decision-making in practical environments.