Applied Research Engineer — Open-Source AI Platform

Prime Intellect, Inc.; Oregon; Hybrid; USD 150,000 - 300,000; Full time

Benefits offered by this job

Cash compensation

Flexible work locations

Visa sponsorship

Development budget

Team off-sites

Job summary

Prime Intellect, Inc. is building the open frontier AI stack and a comprehensive training platform.

This Applied Research role partners with engineering to turn emerging research into robust open-source systems and product features, enabling researchers to ship impactful work in a scalable way. You will own core open-source RL and research tooling, define stable interfaces, and help external contributors ship environments and integrations that meet a high technical bar.

Qualifications

• Ownership of open-source ML or developer-tool systems and reproducible research.
• Hands-on experience with model-training, post-training, agent evaluation, or closely adjacent loops.
• Strong experimental judgment with baselines, tracing, and attribution of results.
• Excellent Python skills and ability to build reusable artifacts for researchers and engineers.

Responsibilities

• Own open-source RL, environment, evaluation, and agent systems.
• Develop researcher-facing features in training platform with engineering and design input.
• Create APIs, examples, and reference implementations exposing useful abstractions.
• Collaborate with external researchers and contributors to improve interfaces and workflows.

Skills

Open-source ML

Research engineering

Python proficiency

Experimental design

Tools

Git

Job description

Prime Intellect, Inc. is building the open frontier AI stack and a comprehensive training platform.

This Applied Research role partners with engineering to turn emerging research into robust open-source systems and product features, enabling researchers to ship impactful work in a scalable way. You will own core open-source RL and research tooling, define stable interfaces, and help external contributors ship environments and integrations that meet a high technical bar.