Applied Research – Sovereign AI
Posted 1hrs ago
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Job Description
Applied researcher building post-training and agent systems for Prime Intellect’s open AI platform. Developing secure, high-assurance AI for public-sector and regulated-industry workflows.
Responsibilities:
- Build post-training and agent systems in public-sector and regulated-industry settings.
- Turn workflows into tasks, environments, evaluations, and reward signals.
- Run post-training experiments against real baselines and deploy successful results.
- Determine whether gains come from the model, data, harness, inference, or infrastructure.
- Build private improvement loops within sensitive-data boundaries, from trace selection through deployed updates.
- Train permissioned, traceable, recoverable tool-using domain agents evaluated against real procedures.
- Develop high-assurance evaluations for reliability, calibration, robustness, human escalation, and compliance.
- Own agents with explicit permissions, evidence trails, bounded tools, and human checkpoints.
- Conduct research on how privacy, access, and infrastructure constraints affect learning.
- Work directly with customers, users, or research partners while maintaining a substantive research agenda.
Requirements:
- Relevant experience: RL/post-training, private ML systems, high-assurance evaluation, agent safety, regulated-domain ML, public-sector technical work, or deployment under strict data and infrastructure constraints.
- 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.
- Publications, open-source systems, benchmarks, and shipped products are valued as evidence of exceptional work.
Benefits:
- Equity incentives
- Flexible Work (San Francisco, New York, London, or remote)
- Visa Sponsorship & relocation support
- Professional Development budget
- Team Off-sites & conference attendance














