Lila Sciences
This PhD-level co-op role involves contributing to applied machine learning research in protein engineering, including generative protein design and antibody engineering. The position requires analyzing biological datasets, prototyping workflows that connect model predictions with wet-lab feedback, and building benchmarks to support AI research models. The ideal candidate is a currently enrolled PhD student with strong Python skills and experience in machine learning frameworks.
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.
Lila Sciences didn’t post a salary, so this is our estimate from similar listings.
42% above the average for this role
Lila Sciences raises $350M to build scientific superintelligence platform
Oct 16, 2025
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