[Hiring] Applied Research - Ecosystem & Product @Prime Intellect

Role Description

Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale.

You will own the path from emerging research artifact to excellent open-source and product experience. This role sits inside Applied Research and works deeply with engineering. You will:

• Build core open-source systems.
• Shape researcher-facing features in our training platform.
• Decide which abstractions deserve stable interfaces.
• Help external contributors ship serious work into the stack.

Qualifications

• Relevant experience: 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: meaningful baselines, careful trace inspection, clear failure attribution, and a willingness to change direction when the evidence changes.
• Strong Python and the ability to build artifacts that other researchers and engineers can run, inspect, and extend.
• Comfort owning ambiguous problems and keeping partners and teammates current as you resolve them.
• Evidence of exceptional work: publications, open-source systems, benchmarks, and shipped products.

Requirements

• Make a new researcher successful from environment idea to credible evaluation and training run without hiding the underlying experimental choices.
• Turn fast-moving internal agent and RL abstractions into stable public interfaces without freezing weak ideas prematurely.
• Create a contributor path where external researchers can ship environments, harnesses, algorithms, and integrations that meet a serious technical bar.

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