preference-model Jobs
About preference-model
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.
4 Open Roles
4 open roles · apply directly
- Member of Technical Staff - Research & Post-training · San Francisco
- Chief of Staff ↗ · San Francisco, CA, US
- Member of Technical Staff - Low Level & Kernels Capabilities · San Francisco
- Member of Technical Staff · San Francisco
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Start passive job search — free →