Research Assistant
Core
Design, run, and analyze experiments at the intersection of machine learning and robotics to build embodied foundation models for robots.
Role type
Entry-level research assistant (robotics/ML)
Builds
Embodied foundation models for robots
Domain
Robotics + Machine Learning
Deliverable
production ML models
Required skills
experimental design, data collection, statistical analysis, hardware troubleshooting, documentation, result synthesis
Preferred skills
lab studies, field studies, programming, data analysis, robotics, hardware, electronics, mechanical assembly
Technologies
robot platforms, sensors, internal tools, third-party tools
Responsibilities
Run structured experiments on robot platforms, set up physical tasks and benchmarks, collect high-quality robot data, measure real-world success rates, design evaluations with statistical rigor, analyze results to distinguish model improvements from noise, prepare robots and workspaces for rollouts, troubleshoot hardware issues, write documentation and playbooks
Seniority
Entry-level, <3 years experience
