Remote Robotics & Embodied AI Research Scientist

Zekai; United States; Remote; USD 200,000 - 320,000; Full time

Benefits offered by this job

Equity compensation

Bonus opportunities

Health-insurance premium reimbursement

Paid time off

401(k) with company match

Job summary

Zekai is seeking a robotics research leader to drive frontier embodied AI research in a fully remote setting. You will advance vision-language-action models, world models, and multi-modal sensor data use, while designing scalable experiments and data pipelines.

You will collaborate with AI and robotics teams to translate findings into scalable, real-world solutions, with emphasis on experiment design, evaluation, and publication-ready results.

Qualifications

• Hands-on robotics research experience in embodied AI or related fields.
• Experience building and evaluating robot learning models (VLA, imitation learning, or generalist policies).
• Strong Python skills and familiarity with ML/robotics frameworks.

Responsibilities

• Lead frontier robotics research across VLA models and embodied AI trends.
• Design end-to-end experimentation systems: teleoperation, data collection, simulation, policy deployment, real-world evaluation.
• Develop high-fidelity simulations using real-world data to validate policies.
• Leverage Flow for scaling robotics datasets from egocentric video and sensor data.
• Investigate model limitations and sim-to-real gaps to improve datasets and benchmarks.
• Prototype novel approaches to robot learning and policy optimization.
• Identify high-impact research opportunities and lead projects end-to-end.

Skills

Robotics research

Robot learning

Vision-language-action

Python

PyTorch

ROS

Experiment design

Multimodal data analysis

Research ownership

Technical communication

Tools

PyTorch

ROS

MuJoCo

Isaac Sim

Job description

Zekai is seeking a robotics research leader to drive frontier embodied AI research in a fully remote setting. You will advance vision-language-action models, world models, and multi-modal sensor data use, while designing scalable experiments and data pipelines.

You will collaborate with AI and robotics teams to translate findings into scalable, real-world solutions, with emphasis on experiment design, evaluation, and publication-ready results.