Teams at Lila Sciences

Own Coupa procure-to-pay configuration through implementation and go-live. Coordinate workshops, configure approvals, catalogs, punch-outs, and supplier onboarding; manage data migration, UAT, reconciliation, defect resolution, and systems integrator activities. After launch, triage issues, implement configuration or training fixes, and deliver documentation and handover to internal owners.

The Machine Learning Engineer will design and implement ML pipelines and productionize models, collaborating with scientists and engineers on scalable systems.

Build provenance infrastructure for scientific data and workflows, including schemas, metadata systems, Python libraries, APIs, and durable records of agent activity. Support reproducible ML, simulation, and drug discovery workflows while transforming research prototypes into scalable production services. Establish engineering practices for testing, packaging, CI, releases, and documentation across local, cloud, and GPU environments. Collaborate closely with scientists and platform teams on storage, compute, and orchestration systems.