# Applied Researcher - Agentic RL 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: 2026-10-19
- Apply by: 2026-12-03
- Apply: https://jobs.ashbyhq.com/PrimeIntellect/cbaa59ec-c133-400a-a0ae-ae95857f0690?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/primeintellect-applied-research-agentic-rl/

## About the role

You will work on reinforcement learning for agents that reason over long horizons, use tools, coordinate with other agents, recover from failure, and improve from experience. This is Prime's broad, cross-domain Applied Research role, focused on RL and ML systems. Your work should hold up across several application domains: algorithms, environments, harnesses, reward and credit-assignment methods, evaluation, and scalable experimental systems. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Relevant experience: hands-on RL training, scalable ML systems, agent environments, evaluation, inference/training infrastructure, or research crossing methods and systems
- 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 a willingness to change direction when the evidence changes
- Strong Python and the ability to build artifacts that other researchers and engineers can run, inspect, and extend
- Comfort owning ambiguous problems and keeping partners and teammates current as you resolve them

Tags: Applied Research

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/primeintellect-applied-research-agentic-rl/