(Jr.) Machine Learning (ML) Developer

About the role

We are seeking a ML Developer to join our dynamic team at Laminar (formerly H2Ok Innovations). Our company is dedicated to bringing AI to fluid and process manufacturing, leveraging our proprietary spectral sensors and software platform to optimize facility performance across various processes.

Responsibilities

• Build machine learning models that enhance our process optimization technology, focusing on areas such as CIP, product changeovers, material identification, and emerging use-cases.
• Collaborate with ML/Data Scientists to develop, refine, and scale machine learning models from prototypes to production.
• Design and run experiments to evaluate and select models that are generalizable, accurate, and robust to process variability.
• Develop preprocessing and feature extraction pipelines for spectral and multi-modal sensor data to derive insights from noisy, real-world sensors.
• Support model reliability by creating 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 team members.
• Work across problem domains including chemometrics, hybrid modeling, and self-supervised learning, modeling tasks such as distribution modeling, drift and anomaly detection, similarity analysis, and continuous calibration.

Requirements

• Proficient in at least one Python ML framework (PyTorch, JAX, TensorFlow)
• Familiarity with Python packages for numeric computing and data workflows (NumPy, Polars, Pandas, scikit-learn)
• An engineer who writes clean, testable code and has a proven track record of delivering high-quality work on time
• A detail-oriented individual with a natural curiosity about data who enjoys testing hypotheses and understanding the inner workings of our models

Preferred

• Chemical engineering, process engineering, or manufacturing domain knowledge
• Experience with cloud environments (AWS, GCP) and/or Databricks
• Familiarity with spectral data, time-series modeling, or sensor-driven ML
• Experience with Bayesian modeling and probabilistic reasoning
• Experience building real products (ideally utilizing machine learning) and practicing user-centric design

Benefits

• Direct 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
• Competitive salary and bonus opportunities
• Earn equity in our fast-growing startup
• Dynamic and inclusive work environment
• Opportunities for growth and professional development
• Access to Greentown Labs' extensive network of cleantech startups