Senior Software Engineer, ML Research
Core
Build high-performance, secure, and well-documented Machine Learning libraries and tooling that implement algorithms designed by researchers, supporting Lila's autonomous scientific discovery workflows.
Role type
Senior Software Engineer (ML Infrastructure)
Builds
ML libraries, CI/CD pipelines, orchestration environments, and data ingestion pipelines for scientific research.
Domain
AI Science / Scientific Superintelligence / Drug Discovery
Deliverable
production ML models | infrastructure
Required skills
Go, Python, scalable software architecture, MLOps, GitOps, orchestration frameworks (Ray, Argo, Airflow), containerization, Kubernetes, infrastructure-as-code
Preferred skills
monitoring and logging tools (Prometheus, Grafana), research engineering experience
Technologies
Ray, Argo, Airflow, Kubernetes, Go, Python, Prometheus, Grafana, ArgoCD, Github Actions
Responsibilities
Design and build ML libraries implementing researcher algorithms; develop CI/CD pipelines and integration tests; architect repository designs; support debugging and maintenance of Ray-based compute environments; build data ingestion pipelines.
Seniority
Senior, hands-on IC