Remote Robotics Researcher - Embodied AI & VLA Mastery

micro1; United States; Remote; USD 200,000 - 320,000; Full time

Benefits offered by this job

Equity compensation

Bonuses

Remote-first workforce

Health insurance premium reimbursement

401(k) plan

Job summary

micro1 is seeking a Robotics Researcher to drive frontier research in embodied AI, robot learning, and physical AI systems. This remotely located role focuses on VLA models, world models, and embodied intelligence, designing end-to-end experiments across real-world data, simulation, and human-in-the-loop systems.

You will independently explore research directions, collaborate with leading AI and robotics teams, and translate findings into scalable solutions for robotic policies and evaluation.

Qualifications

• Strong background in robotics, embodied AI, or applied ML research.
• Hands-on experience developing or evaluating robot learning models (VLA models, generalist policies).
• Proficiency in Python and robotics/ML frameworks (PyTorch, ROS, simulation environments).

Responsibilities

• Lead frontier robotics research across VLA models and embodied AI approaches.
• Design end-to-end experimentation systems: teleoperation, data collection, simulation, policy deployment, real-world evaluation.
• Develop high-fidelity simulations using real-world data to evaluate robot policies.
• Leverage human-in-the-loop annotation to structure robotics datasets from egocentric video, teleoperation, and multimodal data.
• Investigate model limitations and sim-to-real gaps to improve datasets and benchmarks.
• Prototype and validate novel robot learning approaches and policy optimization.
• Identify high-impact research opportunities and lead projects from exploration to scalable implementation.

Skills

Robotics research

Embodied AI

Python

PyTorch

ROS

Simulation

Multimodal perception

Research ownership

Experiment design

Technical communication

Tools

PyTorch

ROS

MuJoCo

Isaac Sim

Job description

micro1 is seeking a Robotics Researcher to drive frontier research in embodied AI, robot learning, and physical AI systems. This remotely located role focuses on VLA models, world models, and embodied intelligence, designing end-to-end experiments across real-world data, simulation, and human-in-the-loop systems.

You will independently explore research directions, collaborate with leading AI and robotics teams, and translate findings into scalable solutions for robotic policies and evaluation.