Robotics Engineer | Remote

Position: Member of Technical Staff, Robotics & Embodied AI Research

Type: Full-time

Compensation: $500K - $1.5M/yr

Location: Remote

Commitment: 10-40 hrs/week

• Lead frontier robotics research across VLA models, generalist policies, world models, and emerging embodied AI approaches.
• Design end-to-end experimentation systems spanning teleoperation, data collection, simulation, policy deployment, and real-world evaluation.
• Develop high-fidelity simulations using real-world data to evaluate robot policies and validate performance in physical environments.
• Leverage human-in-the-loop annotation platform to structure and scale robotics datasets from egocentric video, teleoperation demonstrations, and multimodal sensor data.
• Investigate model limitations, failure modes, and sim-to-real gaps to develop improved datasets, benchmarks, and evaluation methodologies.
• Independently identify high-impact research opportunities and lead projects from initial exploration through experimentation and scalable implementation.

• Strong background in robotics, embodied AI, robot learning, computer vision, or applied machine learning research.
• Hands-on experience developing, training, or evaluating robot learning models, including VLA models, imitation learning, or generalist policies.
• Proficiency in Python and experience with robotics or ML frameworks such as PyTorch, ROS, or simulation environments.
• Experience designing robotics experiments involving real-world data collection, simulation, policy evaluation, or hardware deployment.
• Understanding of robot learning methodologies, multimodal perception, and sim-to-real transfer challenges.
• Ability to analyze model behavior, identify failure modes, and translate research findings into measurable performance improvements.