Benchling
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
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Benchling
Benchling builds an AI-powered platform for biotech R&D that integrates scientific workflows and data processes to accelerate research breakthroughs. The company is hiring software engineers across full-stack, customer engineering, agentic AI, and security roles to enhance developer productivity, build production AI systems, and protect sensitive research data.
- Website
- benchling.com
Likely interview questions
- Walk us through your experience building full-stack systems. Can you describe a project where you owned both the backend infrastructure and user-facing interface?
- This role involves integrating new scientific AI models (like AlphaFold or Boltz2) into our platform. How would you approach adding a new model to production, and what technical considerations would matter most to you?