Lila Sciences is looking to solve humankind's greatest challenges, such as human health, climate, and sustainability, by building a scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.
Requirements
- Experience with large codebases and MLOps systems.
- Strong Python and cloud/HPC skills.
- Familiarity with orchestration frameworks (Ray, Argo, Airflow)
- Research engineering or scientific software experience.
- Large-scale infra design or repo architecture.
Responsibilities
- CI/CD pipelines and integration tests for ML workflows.
- Cross-repo orchestration and 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.
Other
- Commitment 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.
- Lila Sciences does not accept unsolicited resumes from any source other than candidates.
