Applied Research - RL & Agents
Prime IntellectSan Francisco, California, United States
Posted September 26, 2025
Full Time
About the Company
Prime Intellect democratizes AI development by providing an accessible platform to find global compute resources and train state-of-the-art models through distributed training. The company enables collective ownership of open AI innovations, including language models and scientific breakthroughs, fostering collaboration and innovation in the field.
Job Description
Prime Intellect is building an open superintelligence stack - a control plane with agents, secure sandboxes, and verifiable evaluations, enabling researchers and enterprises to run RL at scale. They are seeking an Applied Research Engineer to advance agent capabilities, build robust infrastructure, and bridge between customers and research. The role involves prototype agents and evals, designing RL and post-training methods, and contributing to the overall infrastructure.
Requirements
- Strong background in machine learning engineering with experience in post-training, RL, or large-scale model alignment.
- Deep expertise in distributed training/inference frameworks (e.g., vLLM, sglang, Ray, Accelerate).
- Experience deploying containerized systems at scale (Docker, Kubernetes, Terraform).
- Track record of research contributions in ML/RL (publications, open-source, benchmarks).
Benefits
- Competitive Compensation + equity incentives
- Flexible Work (remote or San Francisco)
- Professional Development budget
- Team Off-site & conference attendance
- Growth Opportunity
