ML Research Scientist - Robotics

Staff ML Research Scientist - Robotics

1 day ago Be among the first 25 applicants

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$/yr - $/yr

Staff Research Scientist – Robotics & Machine Learning

Location: Vancouver (Hybrid – at least 2 days onsite)

Compensation: $200–300k base + equity

A pioneering robotics and AI team is hiring a Staff Research Scientist to push the boundaries of embodied intelligence. In this role, you’ll work end to end across research, simulation, and real-world deployment, developing ML-driven control systems for dexterous humanoid robots.

You’ll shape the direction of reinforcement and imitation learning research, design scalable training and data pipelines, run large-scale simulation experiments, and bring cutting‑edge algorithms onto robots equipped with advanced sensing capabilities. This is a rare opportunity to contribute research that transitions directly into physical, real‑world performance.

• Develop and advance RL/IL algorithms for complex manipulation tasks
• Lead high‑impact research directions and guide experimentation strategy
• Design training and data‑collection systems that speed up deployment
• Improve efficiency, reliability, scalability, and compute performance of learning systems
• Run experiments in simulation and on real robots, debugging end to end
• Diagnose failures and design robust, production‑ready solutions
• Collaborate closely with ML researchers, robotics engineers, and applied teams

• PhD in ML, Robotics, Computer Science, Applied Math, or equivalent expertise
• 5+ years building and deploying robotic manipulation systems (simulation + real robots)
• 5+ years hands‑on experience with RL/IL for real‑world robotics
• Strong background in continual learning and sim‑to‑real transfer
• Experience transitioning ML research into production robotic systems
• Publication record in top‑tier robotics/AI venues (ICRA, IROS, CoRL)

• Expert Python
• Proficiency with PyTorch or Tensor Flow
• Experience with ROS2 and parallel compute (CUDA, OpenMP)
• Deep understanding of RL theory and practical implementation

Mid‑Senior level

Full‑time

Engineering, Research, and Analyst

Robotics Engineering and Robot Manufacturing

Referrals increase your chances of interviewing at Harnham by 2x

Apply BELOW