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© All Rights Reserved. ApplyBlast.com
Genesis Molecular AI
The Machine Learning Infrastructure Engineer at Genesis Molecular AI builds and optimizes data and orchestration systems that power molecular AI drug discovery workflows. This role involves designing an in-house pipeline orchestration framework while simultaneously developing large-scale preprocessing pipelines for protein, chemical, and ML datasets. The position requires balancing platform development with hands-on optimization of scientific computational workflows.
Genesis Molecular AI is a biotechnology company delivering the industry’s most advanced molecular AI platform to unlock tough protein targets and accelerate drug discovery at scale. Its platform combines AI-driven analytics with molecular understanding to identify viable targets and design candidate medicines more efficiently. The solution is tailored for biotech and pharmaceutical teams seeking scalable, data-driven discovery workflows that shorten preclinical timelines. Genesis positions itself as a leader in AI-enabled drug discovery, helping researchers move faster from target to medicine.
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 Genesis Molecular AI.
Genesis Molecular AI didn’t post a salary, so this is our estimate from similar listings.
81% above the average for this role
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