Applied Research - Ecosystem & Product (Fully Remote)

Prime Intellect, Inc.; United States; Remote; USD 150,000 - 300,000; Full time

Benefits offered by this job

Visa sponsorship

Relocation support

Professional development budget

Job summary

Prime Intellect, Inc. is seeking a researcher to own the path from emerging research artifact to a robust open-source and product experience.

You will contribute to open-source RL, environment, evaluation, and agent systems, and build researcher-facing features in a training platform with engineering and design support. You will provide APIs, examples, reference implementations, and explanations that expose useful abstractions, enabling researchers and engineers to run and extend work.

Qualifications

• Experience owning open-source ML or developer-tool systems.
• Hands-on experience building and debugging model-training, post-training, agent, or evaluation loops.
• Strong Python and the ability to build artifacts that other researchers and engineers can run and extend.

Responsibilities

• Own open-source RL, environment, evaluation, and agent systems.
• Researcher-facing features in our training platform, built with engineering and design.
• APIs, examples, reference implementations, and technical explanations that expose useful abstractions.

Skills

Python

Open-source ML

Research tooling

Model training loops

Post-training evaluation

Bug debugging

Job description

• Research compounds when other researchers can run it, inspect it, extend it, and build on it.
• You will own the path from emerging research artifact to excellent open-source and product experience.

What You'll Own:

• Important open-source RL, environment, evaluation, and agent systems.
• Researcher-facing features in our training platform, built with engineering and design.
• APIs, examples, reference implementations, and technical explanations that expose useful abstractions.

Requirements:

• Experience owning open-source ML or developer-tool systems.
• Hands-on experience building and debugging model-training, post-training, agent, or evaluation loops.
• Strong Python and the ability to build artifacts that other researchers and engineers can run and extend.
• Cash compensation range of $150-300k plus equity incentives.
• Flexible work in San Francisco, New York, London, or remote.
• Visa sponsorship, relocation support, and professional development budget.

Prime Intellect

Prime Intellect is building the open superintelligence stack, providing infrastructure and a full-stack platform for post-training frontier AI models. The company has raised $150M in funding from prominent investors and aims to make open‑source AI research fully reproducible and accessible.