Diffuse Bio · 9 months ago
ML Research Engineer
Menlo Park, CA, US
Full-time
Onsite
Mid Level
$90K/yr - $130K/yr
3+ years expDiffuse Bio develops an automated AI software platform for drug design, leveraging advances in generative AI. The ML Research Engineer will extend and scale the deep generative modeling toolkit for molecular design and execute deep learning experiments to enhance model performance.
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
3+ years of industry experience in a data science or engineering position
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
Graduate degree in math, CS, stats, bioengineering, comp bio, or a related field (not a hard requirement for exceptional candidates)
Self-starter who enjoys working on tough scientific problems and is results-driven
Able to think critically, methodically, and creatively about experiments
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
Company
Diffuse Bio
Diffuse Bio develops an automated AI software platform for drug design, leveraging advances in generative AI.
2-10 employees
Funding
Current Stage
Early StageTotal Funding
$0.5MKey Investors
Y Combinator
2023-04-05Pre Seed· $0.5M
2023-03-31Seed
Leadership Team
Namrata A.
Founder
Recent News
Fellows Fund
2025-09-29
Y combinator
2025-08-20
Company data provided by crunchbase