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.

The role:

• Design, build, and iterate on research infrastructure in close collaboration with research engineers.
• Build tools to automate and maintain computing clusters and data parsing pipelines. 
• Design and build software and APIs that enable internal and external access to our AI systems.

Ideal background:

• Adaptability and openness to work on multiple problem areas (e.g. data processing pipelines, front-end software development).
• Fast learner with a broad understanding of infrastructure, front-end, databases, CI, etc. 
• Bachelors or Graduate Degree in Computer Science, or a related field (not a hard requirement for an exceptional candidate).
• Strong track record in programming (industry experience, internships, competitions, open-source projects).
• Proficient in Python and C++.
• Experience with cloud computing platforms (e.g., GCP).
• Data science or engineering experience (e.g. ML engineer, data infrastructure engineer).
• Is located in the Bay Area (remote work is an option for exceptional candidates).

Pluses:

• Experience with Kubernetes or other cluster management platforms.
• Front-end experience and proficient in HTML/CSS/Javascript, React, etc.

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 with an application and productization focus.

We’re building cutting edge models and software for generative molecular design, and our primary focus is innovating on the algorithms and approaches. We’re also building a seamless software product to deploy our models internally and to external customers/partners and back-end solutions to enable rapid model inference and distributed training.