Job Summary

• Radical Numerics is building the infrastructure to unlock scaling on vast biological sequence, structure, and image datasets for biological world models.
• This role focuses on developing new pretraining methods, studying scaling behavior, and designing training recipes to improve efficiency and generalization for biological world models.
• The company offers the opportunity to work on fundamental questions in pretraining science while staying close to real scientific applications in biology.

Matching Summary

Skills & Requirements

Key Requirements

• ML research or engineering track record
• experimental design and analysis skills
• Python and deep learning tooling experience
• distributed or HPC environments experience
• strong communication skills

Work Rights