Prime Intellect
Applied Researcher - Forward-Deployed RL
$300K
San Francisco +3 · Full-time · Posted Oct 19, 2026
- Location
- San Francisco
New York
Remote
London - Experience
- Relevant experience required; no number of years stated.
- Visa sponsorship
- Visa sponsorship and relocation support offered.
About the job
Own customer-facing applied RL programs, from defining workflows and evaluations through post-training experiments, deployment, and reusable research or platform capabilities.
What you'll do
- Translate customer workflows and goals into tasks, environments, baselines, and evaluations.
- Run RL, distillation, and other post-training experiments; build agent systems and attribute failures carefully.
- Deploy successful improvements, measure customer impact, and carry reusable artifacts into Prime’s research, engineering, and product teams.
What they ask for
- Relevant experience in customer-embedded technical work, research engineering, technical founding, applied ML consulting with build ownership, or end-to-end post-training programs.
- Hands-on experience building and debugging model-training, post-training, agent, evaluation, or closely adjacent experimental loops.
- Strong experimental judgment and ability to connect evidence to business decisions while working with senior external teams.
- Strong Python and comfort owning ambiguous problems and keeping partners and teammates informed.
Nice to have
- Publications, open-source systems, benchmarks, or shipped products demonstrating exceptional work.
Pay
$150-300k USD base salary
Tools
Python
AI focus
Applied RL and other post-training for domain agents, including tool use, memory, recovery, long-horizon tasks, evaluation, and deployment.
Model-written summary · the original posting is authoritative