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© All Rights Reserved. ApplyBlast.com
Digital Biology
The ML Engineer joins the AI Systems team within the AI Accelerator to build production-quality AI capabilities that deepen understanding of disease biology. This hands-on engineering role involves translating validated research prototypes into production-ready implementations of biomedical foundation models. The position requires close collaboration with AI scientists and senior engineers to ensure models are efficient, scalable, and maintain high engineering standards.
Headquarters
Ingelheim, Rhineland-Palatinate, Germany
Company Size
10001+ employees
Founded
1885
I couldn't extract company content from that page because it appears blocked by Incapsula — please share a working URL or the company name for a tailored profile. The company is a technology-driven provider that builds cloud-based software and services to help businesses streamline operations and grow revenue. Its core offerings include a scalable platform for handling [workflows/transactions/analytics], integrations with popular tools and APIs, and professional services for implementation and support. Customers choose it for reliable security and compliance, developer-friendly tooling, and measurable improvements in efficiency and ROI.
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 Digital Biology.
Digital Biology didn’t post a salary, so this is our estimate from similar listings.
29% above the average for this role