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Role Impact:
- Own applied RL programs from first customer problem to deployed improvement.
- Work directly with customer researchers, engineers, and leaders.
What you own:
- Technical and business discovery, RL experiments, and deployment decisions.
- Reusable artifacts back to Prime's shared stack.
Requirements:
- Python, RL/post-training, agent systems, and strong experimental judgment.
- Comfort with ambiguous problems and senior external teams.
Prime Intellect
Prime Intellect builds the open superintelligence stack, providing a full-stack platform for frontier-scale post-training of AI models. The company has raised $150M from top investors and is seeking builders who want to work at the intersection of frontier research, real infrastructure, and go-to-market.