11 months ago
Responsibilities
- Benchmark and evaluate robot foundation models and policies in simulated environments.
- Design evaluation infrastructure for robotic reasoning, planning, manipulation, navigation, robustness, and generalization.
- Develop and train world models using multimodal robot data, including vision, depth, state, and actions.
- Collect and curate robotics datasets and train or fine-tune models using simulated and physical robot data.
- Build sim-to-real transfer workflows connecting simulation, training infrastructure, and deployed robotic systems.
- Set up, integrate, maintain, debug, and operate robotic manipulators, mobile robots, sensors, control systems, and compute platforms.
- Deploy learned policies and world models onto physical robots and develop testing, validation, and continuous-improvement pipelines.
Requirements
- Strong background in robotics, embodied AI, machine learning, or a related field.
- Experience working with physical robotic systems and deploying software onto real robotic hardware.
- Experience with robotics simulation platforms such as Isaac Sim, MuJoCo, Habitat, Gazebo, or similar.
- Familiarity with robot learning, foundation models, or world models.
- Strong Python and robotics-tooling skills.
- Ability to debug across hardware, software, and machine-learning systems.
- Comfort working in a fast-moving research and engineering environment.
Benefits
- The role is on-site and in person in San Francisco.
- The position offers hands-on work spanning robotics research, simulation, machine learning, and physical-hardware deployment.
Tech Stack
Categories
ML EngineeringRobotics
About Moonlake
Moonlake builds interactive world models and simulation infrastructure that generate, simulate, and reason over 3D environments for embodied AI, robotics, and gaming. Its platform and APIs let researchers and developers create assets, scenes, and digital twins at scale, and interact with them via natural language and multimodal inputs. The company is privately held, founded in 2025, headquartered in San Francisco, and raised a $28M seed round in 2025.