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About the Role
Prime Intellect is building the open superintelligence stack, providing infrastructure for ambitious AI teams. Our platform unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for post-training at frontier scale. We are developing open frontier AI, including open-source models and the platform used to build them. This role focuses on owning the path from research artifacts to open-source and product experiences, working within Applied Research and collaborating deeply with engineering.
Responsibilities
- Turn workflows into tasks, environments, evaluations, and reward signals.
- Run post-training experiments against real baselines and deploy successful outcomes.
- Determine if gains originate from the model, data, harness, inference, or infrastructure.
- Develop reusable components into shared research, open-source systems, and product capabilities.
- Work continuously with external researchers and contributors.
- Make the full path from task and harness through evaluation, training, and deployment a coherent research system.
- Make new researchers successful from environment idea to credible evaluation and training.
- Turn fast-moving internal agent and RL abstractions into stable public interfaces.
- Create a contributor path for external researchers to ship environments, harnesses, algorithms, and integrations.
- Own important open-source RL, environment, evaluation, and agent systems.
- Develop researcher-facing features in our training platform.
- Create APIs, examples, reference implementations, and technical explanations.
- Work with research users and external contributors to improve interfaces, code inspectability, and research artifacts.
Requirements
- 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, including meaningful baselines, careful trace inspection, clear failure attribution, and adaptability based on evidence.
- Strong Python skills and the ability to build artifacts that others can run, inspect, and extend.
- Comfort owning ambiguous problems and keeping partners and teammates informed.
- Evidence of exceptional work, such as publications, open-source systems, benchmarks, or shipped products.
Location
- San Francisco
- New York
- London
- Remote
Work Type
- Remote
- Full-time
Salary/Compensations
- $150-300k
Benefits
- Equity incentives
- Visa Sponsorship & relocation support
- Professional Development budget
- Team Off-sites & conference attendance
About the Company
- 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 - from SFT and RL to tool use, agent workflows, and continuously improving production models.
- We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them.
- The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.
- Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators.