Machine Learning (Imitation, RL) and Robotics Research Engineer — 🔒 Filled · Accepting expressions of interest
Core
Develop and adapt imitation and reinforcement learning algorithms to enable robots to learn behaviors from human demonstrations.
Role type
Research Engineer (Imitation Learning, RL, Robotics)
Builds
Robot learning pipelines, simulation frameworks, and software for robot integration and data collection.
Domain
Robotics, Embodied AI, Deep Learning
Deliverable
production ML models
Required skills
deep learning algorithms, reinforcement learning, imitation learning, robot systems integration, ROS, robotics simulation environments, ML pipeline development, software engineering practices
Preferred skills
experience with ACT, Diffusion Policy, VLA
Technologies
ROS, robotics simulation environments
Responsibilities
train and adapt imitation and reinforcement learning algorithms, develop novel algorithm design to improve learning efficiency, build robot simulation frameworks, develop software for robot integration and human demonstration data collection, maintain supporting codebase
Seniority
Entry to mid-level, hands-on IC
