apheris
Apheris is seeking an experienced ML Engineer to join its large molecule ML team, focusing on building and training models for antibody, co-folding, and developability programs. This hands-on role involves turning research prototypes into reliable components for federated training pipelines and delivering evaluations for pharmaceutical consortium partners. The position requires working closely with science, product, and engineering teams to ensure models meet real-world drug discovery needs.
Apheris builds drug discovery AI delivered via federated data networks to produce superior predictive models. Their software runs locally in customers’ environments so data, queries, and outputs remain secure and in‑house. The platform supports in‑house benchmarking, fine‑tuning for specific targets and chemotypes, and integration via GUI or API. Apheris also enables organizations to join or build federated networks to improve model performance without centralizing sensitive data.
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 apheris.
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