Junior Machine Learning Developer

Laminar (Formerly H2Ok Innovations)

. Own the development and refinement of Laminar’s machine learning models for process optimization .

Posted 9/29/2026full-timeSomerville • Massachusetts • United StatesJunior💰 $89,000 - $141,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and refining machine learning models for process optimization, with proficiency in Python ML frameworks and a strong understanding of data workflows. Capable of building preprocessing pipelines and monitoring systems while applying knowledge in chemical engineering and process engineering.

Highest-signal resume keywords

Python ML Frameworks (PyTorch, JAX, TensorFlow)Data Workflows (NumPy, Polars, Pandas, scikit-learn)Cloud Environments (AWS, GCP)Spectral Data AnalysisMachine Learning Model Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning Model DevelopmentData PreprocessingFeature ExtractionAnomaly DetectionBayesian ModelingTime-Series ModelingProcess OptimizationExperiment DesignModel Drift MonitoringUser-Centric Design

Soft Skills

Detail-OrientedCuriosity About DataIndependent Project CompletionEnthusiasm for Testing HypothesesClean Code Practices

Tools & Technologies

DatabricksProprietary Spectral SensorsML Infrastructure ToolsContinuous Calibration Systems

Industry Keywords

Chemical EngineeringProcess EngineeringManufacturingChemometricsHybrid ModelingSelf-Supervised Learning

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Own the development and refinement of Laminar’s machine learning models for process optimization
Build machine learning models for data-driven, fluid-based industrial processes using proprietary spectral sensors and software
Design and run experiments to evaluate and select generalizable, accurate, and robust models
Work with spectral and multimodal sensor data
Build preprocessing and feature extraction pipelines for noisy, real-world sensor data
Develop monitoring and correction systems for model drift, sensor drift, and process anomalies
Develop performant ML infrastructure and tooling with ML/Data Scientists and software team members
Work across chemometrics, hybrid modeling, and self-supervised learning
Perform distribution modeling, drift and anomaly detection, similarity analyses, and continuous calibration
Bring models from prototype to production, scale model training methodologies, craft experiments, and run ablation studies
Enable new use cases and help unlock key markets

Requirements

What you’ll need

Ambitious, hard-working recent graduate
Proficient 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)
Favors clean, testable code and has a proven track record of delivering high-quality work on a timeline
Can independently complete technical project objectives
Detail-oriented with natural curiosity about data
Enthusiastic about testing hypotheses, understanding model behavior, and running physical experiments
Chemical engineering, process engineering, or manufacturing domain knowledge highly valued
Experience with cloud environments (AWS, GCP) and/or Databricks preferred
Familiarity with spectral data, time-series modeling, or sensor-driven ML preferred
Familiarity with Bayesian modeling and probabilistic reasoning preferred
Experience building real products, ideally utilizing machine learning, and practicing user-centric design preferred

Benefits

Comp & perks

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
Opportunities for growth and professional development
Access to Greentown Labs' extensive network of cleantech startups
$90/month transportation benefit
$65/month health and wellness benefit
Flexible PTO
FSA
12 company-paid holidays
Laminar pays 100% of the individual health insurance premium for HMO medical, vision, and dental
Rooftop lunches, ping pong matches, Lunch & Learns, and regular team events
Dynamic and inclusive work environment
Direct impact on product and culture