Diffuse Bio

Generative AI for protein therapeutics

ML Research Intern

Menlo Park, CA / Remote (US)
Job Type
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Namrata Anand
Namrata Anand

About the role

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).
  • Have ownership of a scoped-out project centered on advancing internal methods.
  • Located in the Bay Area (remote work is an option for exceptional candidates).
  • 4 month minimum (3 months for exceptional candidates).

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).
  • Track record of impressive work in industry/academia centered on ML / deep learning.
  • Currently pursuing a graduate degree in math, CS, stats, bioengineering, comp bio, or a related field (not a hard requirement for exceptional candidates).
  • Industry experience in a data science or engineering position


  • 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 work on cutting-edge AI with leading researchers from top institutions.

About Diffuse Bio

At Diffuse Bio we’re building a push-button entirely AI software platform for drug design, leveraging breakthroughs in generative AI. 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.

Diffuse Bio
Team Size:5
Namrata Anand
Namrata Anand