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ML Research Engineer

Extend and scale Diffuse's in-house deep generative modeling toolkit for downstream applications in molecular design.
Menlo Park, California, United States
1 year ago

✨ About The Role

At Diffuse Bio we’re building generative AI for protein therapeutics. Our team has been behind breakthroughs in AI protein design for the past 6 years, including the first experimental validation of AI-generated proteins and diffusion models for protein structure and sequence. We’ve built the first entirely AI computational nanobody design platform and are testing designs in lab now.

Our goal is to build AI systems that can design protein therapeutics for the most challenging and high-value targets. We see enormous potential for AI to revolutionize drug discovery and expand the set of diseases we can treat.

We are looking for candidates who are excited about the opportunity to join the founding team and play an expanding role in the company.

The role:

  • Extend and scale Diffuse’s in-house deep generative modeling toolkit for
    downstream applications in molecular design.
  • Thoughtfully execute deep learning experiments to improve performance
    of models or develop new functionality (e.g. loop engineering,
    structure prediction of protein-protein complexes).
  • Work closely with software engineers to build systems for efficient
    training and deployment of deep learning models.

Ideal background:

  • Self-starter who enjoys working on tough scientific problems and is results-driven.
  • Able to think critically, methodically, and creatively about experiments.
  • Proficient in Python.
  • Experience working with deep learning frameworks (e.g., PyTorch).
  • 3+ years of industry experience in a data science or engineering position.
  • Track record of impressive work in industry/academia centered on ML / deep learning.
  • Graduate degree in math, CS, stats, bioengineering, comp bio, or a related field (not a hard requirement for exceptional candidates).
  • Is located in the Bay Area (remote work is an option for exceptional candidates).

Pluses:

  • Knowledge of physics, math, molecular biology, chemistry, etc.
  • Previous work on ML applied to problems in structural biology or molecular design.
  • Strong publication record.

What we offer:

  • The opportunity to join the founding team and play a critical and expanding role in shaping the company.
  • The opportunity to work on cutting-edge AI with leading researchers from top institutions.
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ML Research Engineer
Menlo Park, California, United States
Engineering
About Diffuse Bio
Generative AI for protein therapeutics