Robotics Research Engineer / Scientist — Robot Learning
Core
Develop learning-based methods (imitation learning, reinforcement learning, VLA models) to enable robots to perform complex real-world manipulation and embodied tasks.
Role type
Senior IC robotics research engineer (robot learning)
Builds
Learning-based policies for robotic manipulation and embodied tasks
Domain
Robotics + Machine Learning
Deliverable
production ML models
Required skills
Python, PyTorch, imitation learning, reinforcement learning, diffusion policies, VLA models, robotic manipulation, perception, control, visuomotor learning, experiment design
Preferred skills
bimanual manipulation, dexterous manipulation, robot demonstration data collection, model/data improvement for robustness and generalization, research publications
Technologies
PyTorch, ROS (mentioned as insufficient alone, but context implies robotics stack)
Responsibilities
Develop and train learning-based policies for robotic manipulation; Apply imitation learning, reinforcement learning, diffusion policies, and VLA models; Design data collection and training pipelines; Deploy trained policies on physical robots; Design rigorous experiments to evaluate task success and generalization; Analyze failures and iterate on models and strategies
Seniority
Senior, hands-on IC
