Frontier Robotics AI Researcher (Remote)

Prime Intellect AI; San Francisco (CA); Remote; USD 150,000 - 300,000; Full time

Benefits offered by this job

Cash compensation

Equity incentives

Flexible work locations

Visa sponsorship & relocation support

Professional development budget

Team off-sites & conference attendance

Job summary

Prime Intellect AI in the San Francisco area is building open frontier AI infrastructure and research platforms for long-horizon tasks. We train agents with reinforcement learning, world models, and multimodal perception, testing in simulation and real robots, with safety constraints guiding development.

Applied researchers will own environments, evaluations, and post-training methods with external robotics teams, delivering reusable research, open-source components, and production capabilities

Qualifications

• Robotics, embodied AI, RL, imitation learning, or related production systems experience.
• Hands-on experience building and debugging model-training loops, post-training.
• Strong experimental judgment with baselines and failure attribution.
• Proficiency in Python and creating usable artifacts for researchers.
• Comfort with ambiguous problems and keeping partners updated.

Responsibilities

• Build environments for training and evaluation, with careful sim-to-real comparison.
• Develop long-horizon agents that operate under hardware constraints.
• Combine offline/online RL with demonstrations and feedback.
• Create rewards/evaluations for safety, adaptation, and continual improvement.

Skills

Robotics

Embodied AI

Reinforcement Learning

Imitation Learning

World Models

Python

Computer Vision

Experimentation

Tools

Simulation Environments

RL Frameworks

Job description

Prime Intellect AI in the San Francisco area is building open frontier AI infrastructure and research platforms for long-horizon tasks. We train agents with reinforcement learning, world models, and multimodal perception, testing in simulation and real robots, with safety constraints guiding development.

Applied researchers will own environments, evaluations, and post-training methods with external robotics teams, delivering reusable research, open-source components, and production capabilities