Edison Scientific
Edison Scientific is seeking an Applied AI Engineer to design, build, and maintain production AI scientist agents that accelerate scientific discovery and medicine development. The role involves collaborating with internal science and engineering teams to prototype new capabilities, develop reusable infrastructure, and refine agent architectures. The engineer will also engage with R&D partners to validate workflows and translate field insights into product direction.
Headquarters
San Francisco, California, United States
Company Size
1-10 employees
Founded
2025
Edison Scientific builds an AI platform that functions like an autonomous scientist to accelerate scientific R&D and drug discovery. Its Edison Platform and Kosmos products autonomously read and synthesize literature, analyze data, design and optimize molecules, and run hundreds of research tasks in parallel to generate validated findings and publication‑ready figures. The web‑based platform unifies target discovery, data synthesis/analysis, molecular design, and broader drug development workflows across disciplines. Research teams use Edison to compress timelines, automate repetitive experiments and analyses, and turn raw datasets into actionable, reproducible reports.
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 Edison Scientific.
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