preference-model
Chief of Staff
This is a 5 day in office position in our downtown San Francisco office. About Us Preference Model is building automated ML research engineering. Existing frontier models are brittle when applied to real-world ML…
Software Engineer
Member of Technical Staff - Software Engineering Capabilities Department: Engineering Location: San Francisco Compensation: $180K – $300K • Offers Equity • Offers Bonus • Bonus range of $0 to $300K+ based on…
Machine Learning Infrastructure Engineer
Member of Technical Staff - ML Infrastructure Engineer, Post-training Department: Engineering Location: San Francisco, Seattle Compensation: $180K – $300K • Offers Equity • Offers Bonus • Bonus based on performance…
Machine Learning Engineer
Member of Technical Staff - Machine Learning Capabilities, New Graduates Department: Engineering Location: San Francisco, Seattle Compensation: $165K – $200K • Offers Equity • Offers Bonus • Bonus range of $0 to $300K+…
Machine Learning Engineer
Member of Technical Staff - Machine Learning Capabilities Department: Engineering Location: San Francisco, Seattle Compensation: $200K – $350K • Offers Equity • Offers Bonus • Bonus range of $0 to $300K+ based on…
Machine Learning Engineer, Low Level & Kernels Capabilities
Member of Technical Staff - Low Level & Kernels Capabilities Department: Engineering Location: San Francisco, Seattle Compensation: $200K – $350K • Offers Equity • Offers Bonus • Bonus range of $0 to $300K+ based…
Cybersecurity Capabilities Engineer
Member of Technical Staff - Cybersecurity Capabilities Department: Engineering Location: San Francisco Compensation: $180K – $300K • Offers Equity • Offers Bonus • Bonus range of $0 to $300K+ based on performance…
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…
Member of Technical Staff - Research & 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…
Member 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…
Member 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…
Member of Technical Staff - Software Engineering Capabilities
About Us Preference Model is automating ML engineering and a critical component is models' abilities to develop software. The way we build software is changing fast. Five years ago we wrote every line of code by…
Member 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…