Full Stack Engineer, Scientific AI Models

About this role

Join Benchling's Model Hub team to build a scalable platform that brings cutting-edge scientific AI models (like AlphaFold) directly into biotech R&D workflows. You'll develop full-stack infrastructure, APIs, and interfaces enabling scientists to design drugs faster by automating and chaining computational models together.

What you'll do

• Design and implement fast, reliable, cost-effective infrastructure for scientific model inference across diverse model types
• Develop intuitive UI and API interfaces for high-throughput model execution and results analysis
• Partner directly with customers to validate use cases, gather feedback, and onboard scientific teams
• Contribute to technical direction and engineering practices as scientific AI capabilities mature
• Integrate new published models into the platform and optimize their performance and scalability
• Build pipelines that allow scientists to automate and chain multiple models together

What they're looking for

• Full-stack software development
• Scientific model deployment and optimization
• Compute-intensive system optimization
• API design and implementation
• Infrastructure and scalability engineering
• UI/UX development
• Cross-functional collaboration
• Rapid experimentation and iteration

Benefits

• In-person collaborative team environment in San Francisco
• Work on cutting-edge scientific AI advancing biotech R&D
• Direct customer collaboration and influence on product direction
• Fast-paced environment with emphasis on rapid experimentation
• Exposure to latest scientific models and computational challenges