
Building Scientific Superintelligence
Mission: Build a "scientific superintelligence" that executes the scientific method autonomously
Founded: 2023
HQ: Cambridge, Massachusetts
Reported funding: Approximately $550M total disclosed (seed + Series A)
Employee count: 176
Scientific discovery and autonomous laboratory automation for life sciences, chemistry, materials, energy, and defense.
2023
Artificial intelligence / Scientific discovery
$200M
Announced as $200M in committed seed capital at public launch
$350M (reported, in tranches)
Reported as an initial ~$235M tranche plus a $115M extension, bringing Series A total to ~$350M
“Flagship Pioneering, General Catalyst, March Capital, ARK Venture Fund, Braidwell, Collective Global and others (reported as backers)”
🚀 About Lila Sciences Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai
At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way.
If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, please apply.
🌟 Your Impact at Lila Join us in shaping the future of science! We are seeking an experienced Infrastructure Software Engineer to join our software platform team, where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge infrastructure and tools that power automated scientific analysis, experiment orchestration and more.
This role sits at the intersection of platform engineering and infrastructure development, with a strong emphasis on Kubernetes and infrastructure as code. You will help design and scale the systems that support our scientific applications, ensuring that our platform is robust, reproducible, and a joy to use.
🛠️ What You'll Be Building
🧰 What You’ll Need To Succeed
✨ Bonus Points For
🌈 We’re All In Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
🤝 A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
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