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ML Researcher – Intern and Full-time

Tilde ResearchAdded 2mo ago

Palo Alto, CAInternship

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Quick summaryby newgrad.ai

What you'll do

  • Develop techniques to understand how large AI models function and improve them
  • Design and optimize novel model architectures through prototyping
  • Investigate model behavior and component functionality to drive improvements
  • Curate datasets to elicit specific behaviors or capabilities in models
  • Collaborate on papers, blog posts, and open-source tools

What they're looking for

  • Deep learning or related research experience
  • Deep technical expertise in ML subfields like architecture, optimizers, RL, or learning dynamics
  • Experience with large-scale pre/post-training infrastructure for experimentation
  • Strong publication record or thoughtful technical blog posts
  • Clear verbal and written communication skills
  • Ability to generate and evaluate research ideas

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

From Tilde Research's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.

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