ML Researcher – Intern and Full-time

Tilde Research is a moonshot AI lab advancing mechanistic interpretability, new architectures, and pretraining science. We build foundational understanding of models to advance the frontier of intelligence. 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