Member of Technical Staff - Low Level & Kernels Capabilities

About Preference Model

Preference Model builds automated research engineering for machine learning. We address fragility in real-world model use by improving reinforcement learning training environments. The team creates repeatable setups that generate high-quality data for preference modeling.

Collaborators design evaluation protocols and iterate on model behavior. Work focuses on structuring tasks, curlating demonstrations, and scaling training regimes. You work on the full stack from data collection to policy optimization.

Preference Model is hiring for Member of Technical Staff - Low Level & Kernels Capabilities (USA).

The full description, including duties, requirements, and pay, is on the company apply page.

This listing is a full-time role.