Software Engineer, Full Stack (Frontend Focus)
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.
To continue to move the field forward in this emerging area, we prioritize individuals who have shown excellence and creativity in their respective domains over specific domain expertise. Having both biology and AI expertise is great, but not a requirement.
Our team does both deep research and product development, not only building the frontier biological AI models in the field but also putting them in the hands of the researchers at the forefront of the life sciences. This fundamentally requires elite engineers and scientists working together to solve big research and product challenges. We are building a world-class multi-disciplinary team spanning AI research, engineering, biology research, and business roles, which requires strong communication and collaboration across roles.
The EvolutionaryScale team is based in two locations: 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 two offices.
The role
- Responsible for full stack development with a focus on proficiency in frontend and backend technologies, particularly Next.js and React.
- Development and implementation of user interfaces for machine learning models.
- Collaborate with AI researchers, biologists, and other engineers to understand their needs and translate them into functional, scalable API and frontend solutions.
Qualifications (preferred)
- Experience with TypeScript, React.
- Experience with Pytorch or low-level programming is a plus.
- Experience with user interfaces in biology or natural sciences.