Preference Model
Member of Technical Staff - Low Level & Kernels Capabilities
San Francisco, California · Staff+
Sponsorship not specified$200k-$350kDetected 32 days ago
Machine LearningResearch
About the role
- Existing frontier models are brittle when applied to real-world ML tasks.
- The present bottleneck is the lack of high-quality RL training environments.
Responsibilities
- 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.
Compensation
- $200k-$350k
Company info
- Preference Model is building automated ML research engineering.
- We are partnering with …
- About Us Preference Model is building automated ML research engineering.
Apply directly at Preference Model →Create a free account for alerts like thisView Preference Model immigration profile
This listing is sourced directly from Preference Model's careers page and normalized into a canonical job model.