Preference Model
5 open jobs
Member of Technical Staff - ML Infrastructure Engineer, Post-training
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
Applyto Member of Technical Staff - ML Infrastructure Engineer, Post-training at Preference Model seen live 21h ago posted 23 days agoMember of Technical Staff - Research Engineer, Post-training
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
Applyto Member of Technical Staff - Research Engineer, Post-training at Preference Model seen live 21h ago posted 23 days agoMember of Technical Staff - Machine Learning Capabilities
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
Applyto Member of Technical Staff - Machine Learning Capabilities at Preference Model seen live 21h ago posted 23 days agoMember of Technical Staff - Low Level & Kernels Capabilities
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
Applyto Member of Technical Staff - Low Level & Kernels Capabilities at Preference Model seen live 21h ago posted 40 days agoMember of Technical Staff - Machine Learning Capabilities, New Graduates
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
Applyto Member of Technical Staff - Machine Learning Capabilities, New Graduates at Preference Model seen live 21h ago posted 153 days ago