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 bridges the gap between deep research and product development. We work together as a team to solve big research challenges, and value the ability to communicate and collaborate well. Research Engineers and Researcher Scientists are both researchers, and we assign equal value to both roles without hierarchy between them. We expect our technical staff to contribute to both research and engineering, while team members can sometimes be stronger at one or the other.

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.

The role

Understand the state of the art in AI or biology and move forward at least one of those fields.
Contribute to executing the research roadmap for the company, including large-scale pretraining of foundation models, fine-tuning foundation models for impactful applications in biology, applying AI models in workflows solving applied problems in biology, etc.
Drive the research for a portion of the company’s cutting-edge foundation model efforts and lead projects in that area.
Implement software for research initiatives.
Collaborate with other researchers and engineers.
Engage the wider scientific community through impactful publications and open source releases.

Preferred qualifications

Proficiency in programming languages such as Python.
M.Sc. in computer science or related field; or equivalent experience.
3+ years of experience implementing models with pytorch or equivalent tools.
Ability to plan and run ML experiments, analyze and communicate outcomes.

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Research Engineer, AI

The role

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