At Tilde Research, our mission is to build moonshot, applied interpretability solutions. We believe that by fundamentally understanding models, we can unlock paradigm shifts in throughput, performance, and safety. Our approach is to innovate across the entire stack, from uncovering the fundamental building blocks of model computation to enabling the precise steering of their behavior. We are driven by the conviction that true progress in interpretability will allow us to make AI more reliable and capable.
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
Communicate clearly and effectively, both verbally and in writing
Can come up with and evaluate research ideas
Are able to learn quickly