(Jr) Machine Learning (ML) Developer

The RoleBuild machine learning models that usher in the next generation of data-driven, fluid-based industrial processes powered by Laminar's proprietary spectral sensors and software platform. Design and run experiments to evaluate and select machine learning models that are generalizable, accurate, and robust to day-to-day process variability. Work with spectral and multi-modal sensor data, building preprocessing and feature extraction pipelines that can derive insights from noisy, real-world sensors. Support model reliability by developing monitoring (and correction systems, when applicable) for model drift, sensor drift, and process anomalies. Develop performant ML infrastructure and tooling in collaboration with ML/Data Scientists and software team members. Work across problem domains including chemometrics, hybrid modeling, and self-supervised learning. Modeling tasks include distribution modeling, drift and anomaly detections, similarity analyses, and continuous calibration.About YouProficient in at least one Python ML framework (PyTorch, JAX, TensorFlow). Fluent with Python packages for numeric computing and data workflows (e.g. NumPy, Polars, Pandas, scikit-learn). An engineer who favors clean, testable code and has a proven track record of delivering high-quality work on a timeline. An executor who thrives with direction and can independently complete technical project objectives. Someone detail-oriented who has a natural curiosity about data. You are enthusiastic to test out hypotheses, understand in detail how our models work, and run physical experiments to improve our modeling capabilities.Preferred: Chemical engineering, process engineering, or manufacturing domain knowledge (highly valued). Experience with cloud environments (AWS, GCP) and/or Databricks. Familiarity with spectral data, time-series modeling, or sensor-driven ML. Familiarity with Bayesian modeling and probabilistic reasoning. Experience building real products (ideally utilizing machine learning) and practicing user-centric design.BenefitsDirect impact on product and culture. Comprehensive benefits package including Medical, Dental, Vision, Life Insurance, Disability, Transportation benefit, Health and Wellness benefit, and more. 401k plan with employer matching. Equity. Competitive salary and bonus opportunities. Dynamic and inclusive work environment. Opportunities for growth and professional development. Access to Greentown Labs' extensive network of cleantech startups. Transportation benefit for your commute. A team that celebrates together from rooftop lunches, ping pong matches, Lunch & Learns, and regular team events.