Applied Researcher - Robotics

What you'll do

• Build simulation and real-world environments and evaluations, including sim-to-real comparisons.
• Train long-horizon embodied agents using reinforcement learning, demonstrations, interventions, and feedback.
• Develop rewards and evaluations for task success, safety, adaptation, and continual improvement.

What they ask for

• Relevant experience in robotics, embodied AI, RL, imitation learning, control, world models, simulation, computer vision, agent evaluation, or production systems interacting with the physical world.
• Hands-on experience building and debugging model-training, post-training, agent, evaluation, or closely adjacent experimental loops.
• Strong experimental judgment and strong Python skills.
• Ability to own ambiguous problems and keep partners and teammates current.

Nice to have

• Publications, open-source systems, benchmarks, or shipped products as evidence of exceptional work.

Pay

$150-300k (USD, cash compensation; base salary or total pay not specified)

Tools

Python

AI focus

Robotics and embodied AI research, including reinforcement learning, world modeling, imitation learning, planning, multimodal perception, and post-training of agents.