We’re hiring experienced 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.

This role blends research and engineering. It will require you to stay up to date with the latest research, develop novel approaches, and realize them in code. You will have full ownership and autonomy of the environments you build. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers and engineers.

Note: This role is only for experienced ML Engineers. We have a separate opening for New Grads.

Design and build RL environments and reward functions that produce clean, learnable signals for frontier models on ML research and engineering tasks

Build deep expertise across the frontier of ML research, training, and inference infrastructure

Collaborate with others to brainstorm and create new ideas and tools to improve the environment building process

What We are Looking For (Qualifications):

5+ years of experience working in machine learning or research, primarily on LLMs and transformer models

Member of Technical Staff - Machine Learning Capabilities

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Preference Model

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