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 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. We are partnering with leading AI labs to push AI closer to achieving its transformative potential.

About the Role

As part of our goal to automate every role at a hypothetical AI research lab. One important capability we care about is models' understanding of cybersecurity.

We're hiring experienced Security / Cybersecurity Engineers to design and build reinforcement learning environments that teach LLMs to reason about and solve real-world cy...