Description
Laminar is hiring a Machine Learning Developer to build, refine, and scale machine learning models for fluid and process manufacturing. The role focuses on process optimization across CIP, product changeovers, material identification, and other industrial use cases, including model experimentation, spectral and multimodal sensor data pipelines, monitoring for drift and anomalies, and ML infrastructure. Candidates should be recent graduates proficient in Python and at least one ML framework, with strong coding, experimental, and data-analysis skills; chemical, process, or manufacturing knowledge is preferred. The position offers medical, dental, vision, equity, and other benefits.
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