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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 seeking a senior regional player-coach to establish and lead a research group through hands-on research and field programs, shaping external problems into research agendas, leading experiments, and recruiting exceptional researchers.
Responsibilities
- Shape consequential external problems into coherent research programs.
- Lead the hardest early experiments and deployments.
- Recruit exceptional researchers.
- Set research direction and technical/experimental standards for the growing group.
- Turn a workflow into tasks, environments, evaluations, and reward signals.
- Run post-training experiments against real baselines and deploy what works.
- Determine if gains came from the model, data, harness, inference, or infrastructure.
- Develop reusable parts into shared research, open-source systems, and product capabilities.
- Work directly with customers, users, or research partners while maintaining a substantive research agenda.
- Turn the first portfolio of New York field programs into research agendas with strong owners, comparable evidence, and explicit paths from domain result to shared capability.
- Personally lead a high-stakes program through environment design, baseline, post-training, evaluation, and deployment.
- Establish the quality bar for the growing team.
- Recruit the founding New York researchers.
- Establish a working rhythm that keeps review rigorous without slowing the team.
- Own a small number of the hardest New York partner and customer research programs.
- Own recruiting and development of the founding New York Applied Research group.
- Own technical standards for environments, evaluations, post-training experiments, failure analysis, and deployed results.
- Own meaningful personal research, cross-program technical direction, and decisions about what becomes shared research or product capability.
Requirements
- A track record leading high-performing applied-research or research-engineering teams.
- Deep credibility in RL/post-training/agents/evaluation/ML systems.
- Exceptional recruiting judgment.
- Experience with demanding external technical stakeholders.
- 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, shipped products).
- Ability to show something difficult you built, what failed, and how the evidence changed your approach.
Skills
- RL
- post-training
- agents
- evaluation
- ML systems
- Python
Location
- New York City
Work Type
- Full-time
- In-person
Experience Level
- Senior
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 — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more.
- We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.