Preference Model

Preference Model

Workplace Experience Coordinator

San Francisco · Part-time

Sponsorship not specifiedDetected 6 days ago
Machine LearningExcelLogisticsResearch

About the role

  • You run the office day to day, give new hires a good first day, and organize the events that bring people in.
  • The first thing you'll do is get us moved into our new office space.
  • After that, you keep the office running and put on the events that make people want to be there.

Responsibilities

  • Coordinate with building management to obtain keys for new hires, and collect keys and office access when someone leaves

Requirements

  • Experience running an office or workplace at a startup or fast-growing company (office manager, workplace coordinator, or similar)
  • A logistics brain: you can run a move, juggle deliveries and setup, and keep track of many moving pieces without dropping any
  • Familiarity with office and operations tools (Forkable, Brex, access/badging systems, or similar)
  • Ensure required compliance posters and the business certificate are posted correctly
  • You are organized and outgoing.

Compensation

  • Competitive cash compensation

Company info

  • 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.
  • 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.
  • Plan and run company offsites

This listing is sourced directly from Preference Model's careers page and normalized into a canonical job model.