Robotics Data & RL Engineer — Embodied AI Systems

Lightwheel; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Lightwheel in San Francisco is seeking a role focused on building a robust data-model-evaluation closed loop and underlying infrastructure for data, evaluation and training. You will contribute to experiment design and algorithm research across embodied AI, including data collection, simulation data, and model training pipelines, with emphasis on data quality and efficient feedback loops.

The position requires hands-on robotics data, reinforcement learning expertise, and the ability to

Qualifications

• Experience with robotics data collection and dataset curation.
• Strong RL knowledge; familiarity with World Models and simulation.
• Ability to design experiments and evaluate data-model-evaluation loops.

Responsibilities

• Develop data and evaluation pipelines within the data-model-evaluation loop.
• Contribute to model architectures and training pipelines for embodied AI.
• Collaborate with researchers to design experiments and analyze results.

Skills

Robotics data

Reinforcement learning

World Models

Simulation

Tools

Claude Code

Job description

Lightwheel in San Francisco is seeking a role focused on building a robust data-model-evaluation closed loop and underlying infrastructure for data, evaluation and training. You will contribute to experiment design and algorithm research across embodied AI, including data collection, simulation data, and model training pipelines, with emphasis on data quality and efficient feedback loops.

The position requires hands-on robotics data, reinforcement learning expertise, and the ability to