Arc Institute
The Infrastructure Engineering role at Arc Institute involves owning the data and evaluation of ML infrastructure for the organization's virtual cell models. The position focuses on managing the Model Performance Dashboard and the pipeline that processes single-cell data into training sets, while also expanding into broader ML training and evaluation systems. This role requires direct collaboration with ML researchers and scientists to drive technical direction and improve model performance.
Headquarters
Palo Alto, California, United States
Company Size
51-200 employees
Founded
2021
Arc Institute is an independent nonprofit research organization headquartered in Palo Alto, California, focused on AI and biology research. Its mission is to accelerate scientific progress, understand the root causes of complex diseases such as cancer, neurodegeneration, and immune dysfunction, and narrow the gap between discoveries and patient impact. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley, providing scientists with multi-year funding and investing in experimental and computational technological tools.
Arc Institute’s Patrick Hsu on Building an App Store for Biology with AI
Oct 27, 2025
Tahoe, Arc Institute, and Biohub Join Forces on Massive Virtual Cell Dataset
Jan 12, 2026
Tahoe Therapeutics, Arc Institute, and Biohub Partner to Generate the Largest Perturbation Dataset for Virtual Cell Models
Jan 12, 2026
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Arc Institute.
10x Genomics and Ultima Genomics partner with Arc Institute to accelerate development of the Arc Virtual Cell Atlas
Apr 28, 2025