Applied Research – Robotics

Posted 1hrs ago

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Job Description

Applied robotics researcher building embodied AI agents, evaluations, and post-training systems. Prime Intellect develops open infrastructure for frontier AI teams.

Responsibilities:

  • Build environments, evaluations, agent systems, and post-training methods with an external robotics team
  • Train and evaluate agents using reinforcement learning, world modeling, imitation learning, planning, and multimodal perception
  • Use feedback from simulation and deployed robots
  • Test behavior under partial observations, long horizons, changing environments, and hardware and safety constraints
  • Build aligned simulation and real-world evaluations for long-horizon embodied tasks
  • Combine demonstrations, interventions, offline data, and online feedback into training loops
  • Train embodied agents to recover from partial failures, changing scenes, and uncertain states
  • Own simulation and real-world environments for training, evaluation, and sim-to-real comparison
  • Own long-horizon agents that perceive, plan, act, remember, and recover under hardware constraints
  • Develop rewards and evaluations for task success, safety, adaptation, and continual improvement
  • Work directly with customers, users, or research partners while maintaining a substantive research agenda

Requirements:

  • Relevant experience in robotics, embodied AI, RL, imitation learning, control, world models, simulation, computer vision, agent evaluation, or production systems interacting with the physical world
  • Hands-on experience building and debugging model-training, post-training, agent, evaluation, or closely adjacent experimental loops
  • Strong experimental judgment: meaningful baselines, careful trace inspection, clear failure attribution, and willingness to change direction when evidence changes
  • Strong Python
  • Ability to build artifacts that other researchers and engineers can run, inspect, and extend
  • Comfort owning ambiguous problems and keeping partners and teammates current
  • Evidence of exceptional work through publications, open-source systems, benchmarks, or shipped products

Benefits:

  • Equity incentives
  • Flexible Work (San Francisco, New York, London, or remote)
  • Visa Sponsorship & relocation support
  • Professional Development budget
  • Team Off-sites & conference attendance