Machine Learning Scientist, BioML

Role Overview

We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into models at the intersection of complex protein biology and AI. This position offers an opportunity to work at the forefront of generative modeling research across language processing, representation learning, and protein engineering.

What You Will Do

Design and develop state-of-the-art predictive and generative models incorporating domain-specific evolutionary and experimental data, leverage massive-scale protein and nucleic acid data to train specialized models for protein understanding and design, and collaborate across the machine learning and protein design teams to adapt and apply techniques for experimental validation.

Why It Might Be a Fit

As an early employee, you will proactively shape the direction of our machine learning efforts and collaborate across diverse teams of computational and experimental scientists. You should be a self-directed researcher who has the ability to rapidly prototype and evaluate new models and algorithms in the biomolecular domain.

Requirements

• PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field
• Experience with conceiving of, implementing, and evaluating novel machine learning techniques at the intersection with biology
• Publications at major machine learning conferences (NeurIPS, ICML, ICLR) or scientific journals (Nature, Science, Nature Biotech, Nature Methods, PNAS)
• Experience with modern deep learning frameworks such as Pytorch or Jax

Benefits

• Competitive compensation package with equity participation
• 401(k) with a strong employer match
• Comprehensive benefits including health/dental/vision insurance
• Generous PTO policy and commitment to work-life balance
• Professional development opportunities in a cutting-edge field at the intersection of AI and biology