Machine Learning Research Engineer

Diffuse Bio • Redwood City, CA

2d • Remote

About The Position

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.

Requirements

• 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.

Nice To Haves

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

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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior