# Member of Technical Staff - Machine Learning Capabilities, New Graduates at Preference Model Labs

- Company: Preference Model Labs
- What the company does: Preference Model is building the next generation of training data to power the future of AI. Backed by a16z and South Park Commons.
- Company website: https://www.preferencemodel.com
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco
- Work setup: On-site
- Pay: $165K to $200K base salary per year (USD)
- Posted: 2026-05-04
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/Preference-Model/44642065-e592-44ba-810d-a019703463b6
- Page: https://www.1752.vc/careers/jobs/preference-model-labs-member-of-technical-staff-machine-learning-capabilities-ne/

## About the role

We’re hiring new graduate Machine Learning Engineers to design and build reinforcement learning environments to safely advance model capabilities in machine learning research and engineering. Specifically, you'll be teaching frontier models to do the work of an ML engineer or researcher at a frontier lab.

## What they're looking for

- You have strong ML fundamentals and broad research interests. You read many papers or tutorials, understand topics deeply and have the creativity to translate them into RLVR problems
- Expert knowledge in an active DL/ML research area, with publications or public code to show for it
- Research experience (PhD, MS) is a strongly preferred
- Deep understanding of transformer internals
- Proficiency in Python, Numpy, and systems programming, ideally PyTorch or JAX
- Smart problem solvers who take ownership and drives solutions end-to-end

Tags: Engineering
