Applied Research - Evals & Data
Prime IntellectSan Francisco, California, United States
Posted October 27, 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 infrastructure, serving as a centralized control plane and pair with a full RL post-training stack. This role involves advanced modeling and data analysis to improve performance and reliability of AI agents. The company is funded and rapidly scaling, with a focus on customer-facing application and product development.
Requirements
- Strong background in machine learning engineering, with experience in post-training, RL, or large-scale model alignment.
- Experience with applied data workflows and evaluation frameworks for large models or agents.
- Deep expertise in distributed training/inference frameworks.
- Experience deploying containerized systems at scale.
- Track record of research contributions (publications, open-source contributions, benchmarks) in ML/RL.
Benefits
- Competitive Compensation + equity incentives
- Flexible Work (remote or San Francisco)
- Visa Sponsorship & relocation support
- Professional Development budget
- Team Off-sites & conference attendance
- Growth Opportunity
