# Research Engineer / Scientist - Reinforcement Learning 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: 2026-10-16
- Apply by: 2026-11-30
- Apply: https://jobs.ashbyhq.com/PrimeIntellect/7bd4beca-6c73-4a38-9a6b-09dfa855dcf0?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/primeintellect-research-engineer-scientist-reinforcement-learning/

## About the role

Help develop the algorithms and systems used to train Prime Intellect’s open models with reinforcement learning. We’re hiring research engineers and scientists across RL algorithms, scaling research, and training frameworks. Your focus will reflect your strengths; you don’t need to cover all three. Demonstrated depth in at least one of RL algorithms, empirical research on model training, or distributed ML systems. This could come through research, open-source contributions, or systems you’ve built. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Demonstrated depth in at least one of RL algorithms, empirical research on model training, or distributed ML systems. This could come through research, open-source contributions, or systems you’ve built
- Strong programming skills in Python and experience with PyTorch or a comparable ML framework
- Ability to design controlled experiments, interpret results, and debug unexpected model or system behavior
- Experience taking a research idea or systems change through implementation, testing, and evaluation, with a clear account of what worked and what didn’t

Tags: Research

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/primeintellect-research-engineer-scientist-reinforcement-learning/