Lila Sciences
Lila is seeking an ML Scientist I/II to develop and apply generative and predictive models for protein engineering, moving biomolecule design from hypothesis to wet-lab validated leads. The role involves building ML workflows, integrating design methods into software systems, and collaborating with experimental scientists to improve model performance. This position sits at the intersection of machine learning, protein engineering, and therapeutic design to support Lila's autonomous science platform.
Company Size
1-10 employees
Lila Sciences is building a scientific superintelligence platform and autonomous labs for life, chemical, and materials sciences. They place AI at the center of discovery—combining advanced models, autonomous workflows, and lab automation to rapidly generate, execute, and validate experiments at scale. Their mission is to expand human knowledge and accelerate breakthroughs to tackle some of humankind’s greatest challenges.
Lila Sciences adds Nvidia-backed $115M to series A, bringing total haul to $350M
Oct 14, 2025
Exclusive: AI lab Lila Sciences tops $1.3 billion valuation with new Nvidia backing
Oct 14, 2025
Open for business: Lila closes series A at $350M, welcomes first AI customers
Oct 14, 2025
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 Lila Sciences.
134% above the average for this role
Lila Sciences raises $350M to build scientific superintelligence platform
Oct 16, 2025
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