Applied Researcher - Ecosystem & Product

The role

You will own the path from emerging research artifacts to open-source and product experiences. You will build core open-source systems, shape researcher-facing features in the training platform, and work with external researchers and contributors.

What you will do

• Build core open-source systems
• Shape researcher-facing features in the training platform
• Decide which abstractions deserve stable interfaces
• Help external contributors ship work into the stack
• Work continuously with external researchers and contributors
• Own open-source RL, environment, evaluation, and agent systems
• Build APIs, examples, reference implementations, and technical explanations
• Work with research users and external contributors to improve interfaces and code

Required qualifications

• Ownership of open-source ML or developer-tool systems, research engineering, technical product work, or communities formed around code and reproducible research
• Hands-on experience building and debugging model-training, post-training, agent, evaluation, or closely adjacent experimental loops
• Strong experimental judgment
• Strong Python
• Ability to build artifacts that other researchers and engineers can run, inspect, and extend
• Comfort owning ambiguous problems

Nice to have

• Publications
• Open-source systems
• Benchmarks
• Shipped products

Benefits

• Cash Compensation Range of $150-300k + equity incentives
• Flexible Work (San Francisco, New York, London, or remote)
• Visa Sponsorship & relocation support
• Professional Development budget
• Team Off-sites & conference attendance

About the company

Prime Intellect is building the open superintelligence stack. The platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system.