Research Scientist / Engineer Intern
Core
Build and ship learning-based control systems for general-purpose humanoid robots in the real world.
Role type
Research Scientist/Engineer Intern (Robotics & AI)
Builds
Learning-based control systems, policies, teleoperation tools, and sim-to-real setups for humanoid robots
Domain
Robotics, AI, Machine Learning, Embodied AI
Deliverable
production ML models | product features
Required skills
Reinforcement learning, Imitation learning, Multimodal foundation models, Embodied perception, Reasoning and planning, Deep learning for robotics, Python, C++, Robotics stack optimization, Teleoperation tooling, Academic research
Preferred skills
Humanoid robot experience, Sim-to-real gap reduction, Latency optimization, Failure mode analysis
Technologies
Python, C++, Reinforcement Learning, Imitation Learning, Foundation Models, Simulation environments
Responsibilities
Train and deploy policies using RL/IL/multimodal approaches; Hack on simulation and real-world setups to close sim-to-real gap; Optimize robotics stack for latency and failure modes; Create teleoperation and human-in-the-loop tools; Stay on top of academic and industrial trends in AI/Robotics
Seniority
Intern
