About the role:As a ML Researcher, you will develop innovative techniques to deeply understand how large AI models work-and use those insights to make them better. You'll work on training, analyzing, and evaluating cutting-edge models, collaborating closely with a team of researchers and engineers to advance interpretability as a tool for improving performance and control.
What you might work on:- Designing, prototyping, and optimizing novel model architectures
- Investigating why models or specific components behave the way they do-and how to improve them
- Curating targeted datasets to elicit and instill specific behaviors or capabilities in models
- Collaborating on papers, blog posts, and open-source tools to share insights with the broader community
You're a good fit if you:- Have experience in deep learning or related research areas
- Have deep technical expertise in some subfield(s) of modern ML, e.g. architecture, optimizers, RL, learning dynamics, etc.. This can include through:
- Strong publication record
- Thoughtful technical blog posts
- Have experience working with large-scale pre/post-training infrastructure for experimentation
- Communicate clearly and effectively, both verbally and in writing
- Can come up with and evaluate research ideas
- Are able to learn quickly
