Full Stack Engineer, Scientific AI Models

The Model Hub team is building a computational platform that provides access to cutting-edge scientific AI models to help scientists design better drugs. Scientific models (e.g. AlphaFold or Boltz2) predict structures, predict scientific properties, and generate new drug designs, acting as a design partner and a major time saver to scientists who are creating life-saving therapeutics. As a full-stack engineer on the team, you’ll focus on building the scalable platform, APIs, and user interfaces for these models. Projects you might work on include: adding new models as soon as they're published, improving model performance and scalability, and enabling scientists to automate their in-silico workflows by chaining models together into pipelines.

Responsibilities

Build and scale our scientific model platform by designing and implementing infrastructure for model inference that is fast, reliable, and cost-effective across a diverse set of scientific models; Create intuitive and beautiful UI and API interfaces for our computational users to execute high-throughput runs and analyze their results; Work directly with customers to ideate use cases, gather feedback, and onboard scientific teams; Shape how we build AI at Benchling, driving experimentation, contributing to technical direction, and helping evolve our engineering and product development practices as the field matures.

Requirements

3+ years of experience with full-stack development; Collaborative mindset, able to work closely with engineers, product managers, and scientists to bring new ideas to life; Desire to work in a fast-paced environment, where priorities can shift and rapid experimentation is encouraged.