Member of Technical Staff, Robotics & Embodied AI Research

micro1 · Worldwide · Full-time · Remote

Job Title: Member of Technical Staff, Robotics & Embodied AI Research
Job Type: Full-time
Location: Remote

The Role
We're hiring a Robotics Researcher to drive frontier research in embodied AI, robot learning, and physical AI systems.
This is a hands-on research role focused on advancing vision-language-action (VLA) models, generalist robot policies, world models, and emerging approaches to embodied intelligence. You'll design and execute end-to-end robotics experiments, leveraging real-world data, simulation, and human-in-the-loop systems to evaluate and improve robot performance.
You'll independently explore promising research directions and collaborate with leading AI and robotics teams to translate experimental findings into scalable solutions.
What You'll Do

• 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 flow, our 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.

• Rapidly prototype and validate novel approaches to robot learning, policy optimization, and embodied intelligence.

• Independently identify high-impact research opportunities and lead projects from initial exploration through experimentation and scalable implementation.

What We're Looking For

• Strong background in robotics, embodied AI, robot learning, computer vision, or applied machine learning research.

• Hands-on experience developing, training, or eval

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