# Research Engineer - 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: 2026-07-08
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/PrimeIntellect/ee13090e-3fea-40f0-b785-19316f52bf08
- Page: https://www.1752.vc/careers/jobs/primeintellect-research-engineer-reinforcement-learning/

## About the role

Lead and participate in novel research to build a massive scale synthetic data generation pipeline and orchestration solution Optimize the performance, cost, and resource utilization of AI inference workloads by leveraging the most recent advances for compute & memory optimization techniques.

## What they're looking for

- Strong background in AI/ML engineering, with extensive experience in designing and implementing end-to-end pipelines for the inference or training of large-scale AI models
- Deep expertise in distributed inference techniques and frameworks (e.g. vllm, sglang) for optimizing the performance and scalability of AI workloads
- Solid understanding of MLOps best practices, including model versioning, experiment tracking, and continuous integration/deployment (CI/CD) pipelines
- Passion for advancing the state-of-the-art in reasoning and democratizing access to AI capabilities for researchers, developers, and businesses worldwide
- If you're not familiar with these, but feel like that you can contribute to our mission and you're a high-energy person, get familiar with these resources ( here , here and here ) and please reach out!

Tags: Research