Moonlake
Member of Technical Staff - Robotics Researcher
San Francisco, CA · On-site · Staff · Full-time · Posted Dec 22, 2025
About the job
Build and evaluate robotics AI across simulation and physical platforms, including training world models and deploying learned systems to real robots.
What you'll do
- Benchmark robot foundation models and policies in simulation; build evaluation and testing infrastructure.
- Train world models and robot-learning systems using multimodal, simulated, and physical-robot data; improve sim-to-real transfer.
- Integrate, deploy, maintain, and debug physical robot hardware and software.
What they ask for
- Strong background in robotics, embodied AI, machine learning, or a related field.
- Experience with physical robotic systems and deploying software onto real robotic hardware.
- Experience with robotic simulation platforms such as Isaac Sim, MuJoCo, Habitat, Gazebo, or similar.
- Strong software engineering skills in Python and robotics tooling; ability to debug across hardware, software, and machine learning systems.
Nice to have
- Familiarity with robot learning, foundation models, or world models.
Tools
Isaac Sim, MuJoCo, Habitat, Gazebo, Python
AI focus
Evaluate robot foundation models and policies, train predictive world models from multimodal robot data, and develop robot-learning systems that transfer from simulation to physical robots.
Model-written summary · the original posting is authoritative