Member of Technical Staff, Pretraining Science

The role

You will work on the science of how biological world models learn during large-scale training. You will develop new pretraining methods, study scaling behavior, and design training recipes to improve efficiency and scientific usefulness.

What you will do

• Research and develop new pretraining methodologies.
• Explore how biological world models learn from multi-modal data.
• Study scaling behavior and training dynamics.
• Design data curricula and sampling strategies.
• Work on architecture, algorithms, and optimization.
• Run large-scale experiments rigorously.
• Collaborate closely with infrastructure and data teams.
• Define evaluations for pretraining progress.

Required qualifications

• Strong track record in ML research or engineering, especially in large-scale model training, pretraining, representation learning, optimization, scaling laws, or related areas.
• Ability to design, run, and analyze experiments thoughtfully, with strong research judgment and empirical rigor.
• Proficiency in Python and modern deep learning tooling such as PyTorch.
• Comfort debugging distributed or high-performance training systems at scale.
• Experience working in distributed or high-performance computing environments.
• Excellent written and verbal communication skills.
• Intellectual curiosity and a bias toward experimentation, iteration, and continuous improvement.

Nice to have

• Experience training or analyzing frontier or foundation models.
• Strong grasp of probability, statistics, optimization, and ML fundamentals.
• Familiarity with curriculum learning, data selection, active learning, or data-quality methods for large-scale training.
• Experience designing or maintaining evaluation frameworks for large models.
• Contributions to open-source ML systems, datasets, or research tooling.
• Background in applied math, systems, computational biology, physics, mathematics, or another strongly quantitative field.

Benefits

• Competitive compensation
• Comprehensive benefits
• Support for continual learning

About the company

Radical Numerics is an AI research lab building general biological intelligence. Their mission is to master the code of life to reduce human suffering.