(Jr) Machine Learning (ML) Developer

Sourced from zerogtalent.com

Laminar is hiring a junior Machine Learning Developer to build and refine the ML models at the heart of its industrial process optimization platform, which pairs proprietary spectral sensors with foundation models for fluid and process manufacturing. You will own model development across use cases such as clean-in-place, product changeovers, and material identification, taking models from prototype to production. The role involves designing experiments and ablation studies, building preprocessing and feature extraction pipelines for noisy sensor data, and developing ML infrastructure and tooling alongside ML/Data Scientists and software engineers.

• Build machine learning models for data-driven, fluid-based industrial processes powered by Laminar's proprietary spectral sensors and software platform
• Design and run experiments to evaluate and select models that are generalizable, accurate, and robust to day-to-day process variability
• Build preprocessing and feature extraction pipelines for spectral and multi-modal sensor data
• Develop monitoring and correction systems for model drift, sensor drift, and process anomalies
• Develop performant ML infrastructure and tooling in collaboration with ML/Data Scientists and software engineers
• Work across domains including chemometrics, hybrid modeling, and self-supervised learning (distribution modeling, drift and anomaly detection, similarity analyses, continuous calibration)