Diffuse Bio · 1 year ago
Machine Learning Research Engineer
Diffuse Bio is focused on building generative AI for protein therapeutics, having achieved significant breakthroughs in AI protein design over the last six years. They are seeking a Machine Learning Research Engineer to extend and scale their deep generative modeling toolkit for molecular design and improve the performance of their models through deep learning experiments.
Artificial Intelligence (AI)Generative AIHealth CareSoftware
Responsibilities
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
Qualification
Required
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)
Preferred
Knowledge of physics, math, molecular biology, chemistry, etc
Previous work on ML applied to problems in structural biology or molecular design
Strong publication record
Benefits
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.
Company
Diffuse Bio
Diffuse Bio develops an automated AI software platform for drug design, leveraging advances in generative AI.
Funding
Current Stage
Early StageTotal Funding
$0.5MKey Investors
Y Combinator
2023-04-05Pre Seed· $0.5M
2023-03-31Seed
Recent News
Fellows Fund
2025-09-29
Y combinator
2025-08-20
Company data provided by crunchbase