Flagship Ventures
About Lila
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
If this sounds like an environment you'd love to work in, even if you only have some of the experience listed below, we encourage you to apply.
• Your Impact at Lila
We're hiring a
Senior Software Engineer
to team with our Machine Learning Engineers and Researchers to build software that powers Lila's ML workflows and research tooling. You will be on a team of software engineers that work alongside machine learning experts to develop, support, and maintain Lila's ML libraries and tools.
What You'll Be Building Design and build high-performance, secure, and well-documented Machine Learning libraries that implement the algorithms designed by machine learning researchers and engineers. CI/CD pipelines and integration tests for ML workflows. Architect repository designs to follow consistent standards. Support debugging, logging, and maintenance for Ray-based compute environments. Data ingestion pipelines linking lab data to ML teams. What You'll Need to Succeed
Minimum of 8 years of experience writing software in a commercial setting in Go or Python. Experience implementing scalable software solutions. Experience with MLOps systems, GitOps (ArgoCD, Github Actions) Familiarity with orchestration frameworks (Ray, Argo, Airflow). Proficiency in Containerization, Kubernetes and infrastructure-as-code tools. Acute listening skills and patience to deeply understand complex problems and algorithms. Excellent problem-solving skills and team-first mentality. Energetic self-starter and independent thinker with strong attention to detail. Eager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting. • Bonus Points For
Proficiency with monitoring and logging tools (e.g., Prometheus, Grafana) Research engineering or scientific software experience.
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.
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
If this sounds like an environment you'd love to work in, even if you only have some of the experience listed below, we encourage you to apply.
• Your Impact at Lila
We're hiring a
Senior Software Engineer
to team with our Machine Learning Engineers and Researchers to build software that powers Lila's ML workflows and research tooling. You will be on a team of software engineers that work alongside machine learning experts to develop, support, and maintain Lila's ML libraries and tools.
What You'll Be Building Design and build high-performance, secure, and well-documented Machine Learning libraries that implement the algorithms designed by machine learning researchers and engineers. CI/CD pipelines and integration tests for ML workflows. Architect repository designs to follow consistent standards. Support debugging, logging, and maintenance for Ray-based compute environments. Data ingestion pipelines linking lab data to ML teams. What You'll Need to Succeed
Minimum of 8 years of experience writing software in a commercial setting in Go or Python. Experience implementing scalable software solutions. Experience with MLOps systems, GitOps (ArgoCD, Github Actions) Familiarity with orchestration frameworks (Ray, Argo, Airflow). Proficiency in Containerization, Kubernetes and infrastructure-as-code tools. Acute listening skills and patience to deeply understand complex problems and algorithms. Excellent problem-solving skills and team-first mentality. Energetic self-starter and independent thinker with strong attention to detail. Eager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting. • Bonus Points For
Proficiency with monitoring and logging tools (e.g., Prometheus, Grafana) Research engineering or scientific software experience.
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.