ML Researcher (Internship and Full-time)

Highlights

• Develop techniques to understand how large AI models work and make them better.
• Design, prototype, and optimize novel model architectures at the frontier.
• Advance interpretability as a tool for improving performance and control.

Ideal candidate

Deep learning researcher who loves understanding how models tick and turning insights into better systems. Curious, fast-learning idea generator who communicates clearly and enjoys collaborative frontier science.

Requirements

• Experience in deep learning or related research areas
• Deep technical expertise in a subfield of modern ML such as architecture, optimizers, RL, or learning dynamics
• Experience working with large-scale pre/post-training infrastructure for experimentation
• Clear and effective verbal and written communication
• Ability to come up with and evaluate research ideas
• Ability to learn quickly