Software Engineering, EvolutionaryScale

• We expect familiarity with technologies like react, tailwinds, radix-ui, nextjs, postgres, and terraform. Familiarity with model development in PyTorch and Python is a plus

Desirable

• The product team builds Forge - both an AI model API platform and a set of first party apps for biologists. We have multifaceted experience with clear areas of expertise
• Each engineer of the product team operates with significant autonomy and has clear areas of ownership
• Design and implement our Forge API products to help scientists program biology and create the next generation of therapeutics
• Build and scale our ML inference service with public-facing APIs to enable individual computational biologists to embed millions of sequences a day and support our generous free tier
• Own integration tests that ensure with high-confidence that our services are running smoothly
• Extend our open source esm library to make interfacing with the complex data types of structural biology seem seamless
• Interface with research team to develop tests, ship model improvements, new AI model features etc
• A strong emphasis on performance and infrastructure - capability to optimize an ML inference stack
• Be an early backend-focused hire on the team building out how we build, test, and ship
• Flex into multiple hats - postgres optimization, terraform, nodejs, model inference pipelines are all to be expected