Diffuse Bio Verified
Biotechnology, Pharmaceutical, Artificial Intelligence, Drug Discovery, Computational Biology
ML Research Engineer
Menlo Park, California, United StatesRemoteFull Time$90,000–$130,000 /yrPosted 2 months agoVisa sponsorship availableHidden Gem · YC Startup
Role summary
Diffuse is seeking an ML Research Engineer to extend and scale their deep generative modeling toolkit for molecular design. The role involves executing deep learning experiments to improve model performance and develop new functionalities, collaborating with software engineers on training and deployment systems. The ideal candidate is a self-starter with 3+ years of industry experience in data science or engineering, proficiency in Python and deep learning frameworks like PyTorch, and a strong track record in ML/deep learning. A graduate degree in a related field is preferred but not strictly required for exceptional candidates. The role is based in the Bay Area with remote options.
**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.
- 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.
