Software Engineer, Machine Learning Infrastructure

Lila Sciences, the pioneering scientific superintelligence platform, is seeking a Senior Software Engineer to join their Machine Learning Infrastructure team. This role sits at the intersection of ML operations and infrastructure engineering, focusing on building robust systems that power Lila's ML workflows and research tooling. The position is based in Cambridge, MA, where you'll be part of a team working to revolutionize scientific discovery through AI.

The role involves building critical infrastructure components including CI/CD pipelines, cross-repository orchestration systems, and data ingestion pipelines that connect laboratory data to ML teams. You'll be working with technologies like Ray for compute environments and implementing robust debugging and logging systems. The ideal candidate should have strong Python skills, experience with cloud/HPC environments, and familiarity with modern orchestration frameworks like Ray, Argo, or Airflow.

Lila Sciences is pioneering a new age of boundless discovery by applying AI to every aspect of the scientific method. Their mission is to introduce scientific superintelligence to solve humanity's greatest challenges in human health, climate, and sustainability. This role offers an opportunity to work on cutting-edge technology that has the potential to accelerate scientific discoveries at an unprecedented scale.

The company values diversity and maintains an inclusive work environment, providing equal employment opportunities regardless of background. They encourage applications even from candidates who may not meet all listed requirements, showing their commitment to developing talent and maintaining an open, growth-oriented culture.