ML Infrastructure Engineer at Laminar

Laminar is hiring a full-time ML Infrastructure Engineer to build and operate infrastructure and tooling that enables ML researchers to train, evaluate, track, monitor, and deploy models at scale across edge devices in fluid and process manufacturing. The role focuses on computer orchestration, automated testing, model registries, deployment pipelines, drift detection, and continuous training, while collaborating with researchers, data engineers, and software engineers. Required experience includes cloud platforms such as AWS and Databricks, MLflow or wandb, Python, relevant SDKs, SQL, Spark, and parquet; chemical, process, manufacturing, spectral, time-series, sensor, or product-development experience is preferred. Benefits include medical, dental, vision, life insurance, disability, transportation, health and wellness, 401(k) matching, equity, and other startup benefits.