Senior Software Engineer, ML Research

Responsibilities

• Design and build high-performance, secure, and well-documented Machine Learning libraries
• Develop CI/CD pipelines and integration tests for ML workflows
• Architect repository designs following consistent standards
• Support debugging, logging, and maintenance for Ray-based compute environments
• Build data ingestion pipelines linking lab data to ML teams

Requirements

• Minimum 8 years of commercial software experience in Go or Python
• Experience implementing scalable software solutions
• Experience with MLOps systems and GitOps (ArgoCD, GitHub Actions)
• Familiarity with orchestration frameworks such as Ray, Argo, or Airflow
• Proficiency in Containerization, Kubernetes, and infrastructure-as-code tools

Preferred Qualifications

• Proficiency with monitoring and logging tools like Prometheus and Grafana
• Research engineering or scientific software experience

About the Company

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously.