Applied Research - Forward-Deployed RL (Fully Remote)

Prime Intellect, Inc.; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Prime Intellect, Inc. is building an open superintelligence stack for frontier-scale post-training of AI models. We seek builders who work across research, infrastructure, and go-to-market to deploy impactful RL solutions.

You will own the end-to-end RL lifecycle, from problem framing with customers to deploying improvements on live systems. You will collaborate directly with customer researchers, engineers, and leaders, applying rigorous experimentation and leveraging Prime's shared stack to

Qualifications

• Proficiency in Python and RL/post-training workflows.
• Strong experimental judgment for evaluating RL experiments.

Responsibilities

• Own applied RL programs from problem framing to deployed improvement.
• Collaborate with customer researchers, engineers, and leaders to deliver outcomes.

Skills

Python

Reinforcement Learning

Agent systems

Experimental judgment

Ambiguity handling

Job description

• 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.