ML Researcher (Internship and Full-time)

What you'll do

• Design, prototype, and optimize novel model architectures; train, analyze, and evaluate models.
• Investigate model behavior and develop targeted datasets to elicit or instill specific capabilities.
• Collaborate on research papers, blog posts, and open-source tools.

What they ask for

• Experience in deep learning or related research areas.
• Deep technical expertise in one or more modern ML subfields.
• Experience with large-scale pre/post-training infrastructure for experimentation.
• Clear communication and ability to develop and evaluate research ideas.

Nice to have

• Strong publication record.
• Thoughtful technical blog posts.

Tools

deep learning, architecture, optimizers, RL

AI focus

Mechanistic interpretability and pretraining research to understand, improve, and control large AI models.