Member of Technical Staff - Environments (ML)

Remote, Full-Time

As an Environment Engineer (ML), you will build on top of our core platform to create the simulation environments in which frontier coding agents learn to be proficient in Machine Learning. You will build testing infrastructure on top of large codebases to grade the solutions of coding agents on real world ML engineering tasks and build automations to speed up parts of testing and task creation.

Here are some things you might work on:

• Write an end-to-end test for an RL framework that trains a small model to ensure that the reward of our model is going up as expected or numerical instabilities occur
• Find research papers proposing algorithmic improvements for model training, implement them and write extensive tests to ensure that we can test whether models are able to reimplement them

This role will require you to constantly work with new codebases; hence, you will...