ML Researcher – Intern and Full-time
Tilde ResearchAdded 2mo ago
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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.
Apply on Tilde Research's site.
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