Research Scientist, Post-Training
San FranciscoFull-timePosted 2mo ago
About the role
Research Scientist role focused on agentic reinforcement learning post-training for multi-turn agents across modalities, scaling RL runs, and algorithmic innovations. Located in San Francisco (on-site) with a full-time salary and equity.
Responsibilities
- RL post-training recipes for multi-turn agents across modalities (tool use, browser use, terminal use)
- Denser reward signals: verifiers, process supervision, richer feedback than binary outcomes
- Scaling RL runs: larger models, longer horizons, many environments in a single run
- Training specialized models that demonstrate what Fleet's environments teach
- Algorithmic innovations in agentic RL, published where it makes sense
Qualifications
- Hands-on experience post-training LLMs with RL, end-to-end
- Publication record at top venues (NeurIPS, ICML, ICLR, or equivalent), or shipped training runs at comparable scale
- High ownership: you manage your own research threads and are measured by what you produce
Skills
Required:Post-training RL with LLMsResearch publication track record
Last updated Oct 8, 2026. Interested? Apply on the company site.
About Fleet
Fleet - AI-powered workflows
Fleet creates simulated worlds and real-world challenges to better understand and shape the behavior of artificial intelligences.
AI-powered workflowsbessemer-ai-infrastructure-2026reinforcement-learning-platforms
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