Prime Intellect
Applied Researcher - Sovereign AI
$300K
San Francisco +3 · Full-time · Posted Oct 19, 2026
- Location
- San Francisco
New York
Remote
London - Visa sponsorship
- Visa sponsorship & relocation support
About the job
Build post-training and agent systems for public-sector and regulated-industry partners, improving models within their data, deployment, access, auditability, and human-authority constraints.
What you'll do
- Build end-to-end private improvement loops, from sensitive-trace selection through training and evaluation to deployed model updates.
- Develop permissioned, traceable agents with bounded tools, evidence trails, recovery, and human checkpoints.
- Design and run high-assurance evaluations and experiments for reliability, calibration, robustness, and compliance.
What they ask for
- Relevant experience in 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, including meaningful baselines, careful trace inspection, and failure attribution.
- Strong Python and ability to build artifacts other researchers and engineers can run, inspect, and extend.
Nice to have
- Publications, open-source systems, benchmarks, or shipped products demonstrating exceptional work.
Pay
$150-300k (base salary)
Tools
Python
AI focus
Applied AI research and engineering for post-training, tool-using agents, private improvement loops, and high-assurance evaluation in public-sector and regulated settings.
Model-written summary · the original posting is authoritative