Jobs › US jobs › Member of Technical Staff - Low Level & Kernels Capabilities
San Francisco
ABOUT US Preference Model is building automated ML research engineering. Existing frontier models are brittle when applied to real-world ML tasks. The present bottleneck is the lack of high-quality RL training environments. Our first step is to build RL environments that reflect real-world complexity, with diverse tasks and robust reward functions. Our founding team has previous experience on Anthropic’s data team building data infrastructure, and datasets behind Claude.
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Collected from the employer's own careers site (Ashby). Posted 25 Aug 2026. TUNAI shows an excerpt and the facts it read from the advert; the employer's page has the full description and the application.
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