# Applied Research - RL & Agents at Primeintellect

- Company: Primeintellect
- What the company does: Train, deploy, and continuously improve your own models on an integrated compute, training, inference, and sandbox stack. Backed by Menlo.
- Company website: https://www.primeintellect.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Posted: 2026-07-08
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/PrimeIntellect/46d9d060-5f48-4491-848f-bafbeb3a4325
- Page: https://www.1752.vc/careers/jobs/primeintellect-applied-research-rl-and-agents/

## About the role

This is a role at the intersection of cutting-edge RL/post-training methods and applied agent systems. You’ll have a direct impact on shaping how advanced models are aligned, deployed, and used in the real world by:

## What they're looking for

- Strong background in machine learning engineering, with experience in post-training, RL, or large-scale model alignment
- Experience with agent frameworks and tooling (e.g. DSPy, LangGraph, MCP, Stagehand)
- Familiarity with distributed training/inference frameworks (e.g., vLLM, sglang, Accelerate, Ray, Torch)
- Track record of research contributions (publications, open-source contributions, benchmarks) in ML/RL
- Passion for advancing the state-of-the-art in reasoning and building practical, agentic AI systems
- Strong technical writing abilities (documentation, blogs, papers) and research taste

Tags: Applied Research