Member of Technical Staff - ML Infrastructure Engineer, Post-training
Preference Model · San Francisco
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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 compl…
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