Research Engineer, AI

EvolutionaryScale, now part of CZI Biohub, is pioneering the next era of AI-powered biology to understand and program life at scale. Together, we’re combining frontier artificial intelligence and frontier biology and building the technology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. Our mission is to unlock new scientific discoveries that will help cure or prevent disease. Backed by the Chan Zuckerberg Initiative (CZI), Biohub operates as a nonprofit organization uniting leading scientists, engineers, and technologists across hubs based in California, New York, and Chicago.

In 2025, Biohub welcomed the EvolutionaryScale team - recognized for creating large-scale frontier AI systems for the life sciences - to accelerate the mission. Led by co-founder Alex Rives, who now serves as Head of Science at Biohub, the integrated organization is scaling up the compute and research infrastructure needed to build next-generation models of biology-powered by the largest cluster dedicated to open science.

We are at a pivotal moment in science offering a world-class interdisciplinary research environment across biology, data, and artificial intelligence and we will continue to hire for exceptional talent across these disciplines.

We are excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week.

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.

Compensation