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:
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Designing, prototyping, and optimizing novel model architectures
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Investigating why models or specific components behave the way they do—and how to improve them
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Curating targeted datasets to elicit and instill specific behaviors or capabilities in models
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Collaborating on papers, blog posts, and open-source tools to share insights with the broader community
You’re a good fit if you:
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Have experience in deep learning or related research areas
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Have deep technical expertise in some subfield(s) of modern ML, e.g. architecture, optimizers, RL, learning dynamics, etc… This can include through:
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Strong publication record
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Thoughtful technical blog posts
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Have experience working with large-scale pre/post-training infrastructure for experimentation
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Communicate clearly and effectively, both verbally and in writing