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Member of Technical Staff, Robotics & Embodied AI Research
Contract type
Ongoing
Work mode
Remote
Experience
Lead / principal · Not stated
Level inferred from job title
Job description
A hands-on research role driving frontier research in embodied AI, robot learning, and physical AI systems, focused on vision-language-action models, generalist robot policies, and world models. The researcher designs and executes end-to-end robotics experiments using real-world data, simulation, and human-in-the-loop systems.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Remote
- Pay
- USD 200,000 – 320,000 / year
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 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.
- Strong research ownership, experimental judgment, and ability to independently execute complex technical projects.
- Strong technical communication and collaboration skills across research and engineering teams.
Nice to have
- Experience with world models, reinforcement learning, imitation learning, or diffusion-based robot policies.
- Hands-on experience with teleoperation, robotics hardware, sensor integration, or real-world policy deployment.
- Familiarity with robotics simulators such as MuJoCo, Isaac Sim, or comparable environments.
- Experience building multimodal robotics datasets from egocentric video, robot trajectories, or sensor data.
- Prior experience at a leading robotics or frontier AI research lab.
- Contributions to robotics research publications, open-source frameworks, or benchmark development.
Benefits
- Base salary of $200,000 – $320,000 USD.
- Equity compensation.
- Performance-based bonuses, dependent on role and subject to company policies.
- Up to 100% reimbursement for health-insurance premiums.
- Paid time off.
- 401(K) plan with a company match.
- Additional benefits designed to support a high-performing, remote-first workforce.
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About micro1
Key facts
- Remote-first workforce
- Uses artificial intelligence tools to assist in candidate screening and assessment