ML Researcher (Internship and Full-time)

Job description

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