Who we are

EvolutionaryScale’s mission is to develop artificial intelligence to understand biology for the benefit of human health and society, through open, safe, and responsible research, and in partnership with the scientific community. Over the next ten years AI will transform biological design, making molecules and entire cells programmable. We will develop the foundation models for biology that enable this.

The EvolutionaryScale team is based in San Francisco and New York. We believe in flexibility around work schedules and locations, but expect that our team members will work half of the days or more of most weeks from one of our offices.

What you’ll do

The product team builds both Forge - an API platform and a set of first party apps for biologists. We have full-stack experience with clear areas of expertise.

Each engineer of the product team operates with significant autonomy and has clear areas of ownership.

Our frontend leverages react, tailwinds, and radix-ui. Our backend is nextjs, python (for ML-specific services), and postgres. Everything is deployed on AWS with terraform.

The role

• Build full stack apps to help scientists leverage EvolutionaryScale’s models without having to write code
• Build complex, unique apps for scientists at the cutting edge of biology research
• Directly interface with wet lab scientists to build products that assist in their experimentation
• Work with designers and executives to build highly creative UIs on the intersection of novel AI capabilities and scientific users needs
• Be an early frontend-focused hire on the team building out how we build, test, and ship full stack apps
• Help improve the way the team operates and the tools we use

Preferred qualifications

Apply even if you don’t meet all of these!

• have 6+ years of experience in product teams with roles across the stack with at least 40% being with frontend / web technologies
• have 3+ year of experience with react / nextjs
• experience building apps for scientists, especially biologists
• experience working at a startup (<200 people) with high ownership