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Post-training
Role Impact:
- Build simulation and real-world environments for robotics training.
- Train long-horizon agents with RL, world models, and imitation learning.
What you will own:
- Sim-to-real environments, evaluations, and careful comparison.
- Training loops combining offline and online RL with demonstrations.
Requirements:
- Experience in robotics, RL, embodied AI, or computer vision.
- Strong Python and evidence of exceptional work.
Benefits:
- Equity, flexible remote work, visa sponsorship, and relocation.
- Professional development budget and team off-sites.
Prime Intellect
Prime Intellect builds the open superintelligence stack, making frontier AI infrastructure available to ambitious AI teams. With $150M in funding from top investors, they are a well-funded startup focused on open-source AI and decentralized training.