Machine Learning Engineer

• 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

Junior Machine Learning Developer

• Develop and execute the long-term vision and roadmap for the MLOps team
• Balance short-term tactical deliveries with long-term architectural transformation
• Lead and mentor a team of 6–7+ engineers
• Strategically allocate resources across existing services and strategic initiatives
• Partner with machine learning, data science, product engineering, and infrastructure leaders
• Identify pain points, address bottlenecks, and facilitate deployment of new solutions
• Architect compute and storage pipelines for millions of slides and complex derived artifacts
• Modernize the AI product inference stack to support 5–10x growth across global deployments
• Collaborate with Site Reliability Engineering to establish observability metrics for compute utilization, network bottlenecks, cost, and turnaround time
• Lead Build vs. Buy assessments and Stack Refresh audits

Machine Learning Engineer jobs in Massachusetts

Junior Machine Learning Developer

Associate Director – MLOps Engineering