Research Scientist – Frontier AI (San Francisco)
Lead research on post‑training, reinforcement learning, and agentic systems for large language models. Design and implement RL environments, reward models, benchmarks, and evaluation pipelines, driving ideas from hypothesis to deployed capability. Requires deep expertise in Python, PyTorch, and large‑scale model training with a strong research publication record.
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Job Description
Research Scientist - Frontier AI
San Francisco | On-site | $200k–$400k+ + meaningful equity
I’m working with a well-funded frontier AI company in San Francisco building new capabilities in post-training, reinforcement learning, agentic systems and model evaluation.
The company is backed by top-tier investors and has been built by a small team of researchers and engineers from some of the world’s strongest AI and technology organisations. The founding team combines deep research credentials with a track record of shipping large-scale systems, and the business is now entering a major growth phase.
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