ML Infrastructure Engineer (AI)

Location: Hybrid in Somerville, Massachusetts, United States

Company

Laminar builds AI-powered systems for self-driving fluid and process manufacturing, combining inline sensors, physics- and chemistry-grounded foundation models, process control software, and manufacturing insights.

What you will do

• Develop orchestration tools for launching large-scale training, fine-tuning, and inference jobs.
• Design automated model testing environments using semi-supervised metrics and process-aware priors.
• Build model registries and deployment pipelines for tracking, versioning, and deploying models to edge devices.
• Develop monitoring tools that detect model drift and anomalies and trigger continuous training pipelines.
• Collaborate with ML researchers, data engineers, and software engineers to design infrastructure that integrates with existing systems.
• Build tailored infrastructure for manufacturing use cases including clean-in-place, product changeovers, material identification, and product filtration.

Requirements

• Extensive experience using AWS and Databricks to train and evaluate ML models on large-scale data.
• Experience with MLflow and Weights & Biases for experiment tracking and model lifecycle management.
• Strong Python skills and experience with boto3, databricks-sdk, and MLflow SDKs.
• Familiarity with JAX and PyTorch, SQL, Apache Spark, Databricks, and Parquet data.
• Experience building easy-to-use tools and independently delivering technical projects.
• Ability to design infrastructure for large-scale ML training, deployment, and edge-device operation.

Nice to have

• Chemical engineering, process engineering, or manufacturing knowledge.
• Experience with spectral, time-series, or sensor data.
• Experience building or evaluating custom ML models.
• Experience building real products and applying user-centric design.

Culture & Benefits

• Autonomous, ownership-oriented, and collaborative environment with hardware, software, chemistry, AI, operations, and go-to-market specialists.
• Medical, dental, vision, life insurance, disability, transportation, and health and wellness benefits.
• 401(k) plan with employer matching, equity, competitive salary, and bonus opportunities.
• Flexible time off, 12 company-paid holidays, and professional development opportunities.
• Conference and learning budget, team events, and access to Greentown Labs' cleantech network.