Machine Learning Engineer

Boise Cascade is hiring a Machine Learning Engineer for its Wood Products Innovation team. The role develops, deploys, and supports AI solutions for manufacturing operations, including the True Opportunity platform, and partners with plant, regional, IT, and external teams to move solutions into scalable production use.

Responsibilities:

• Develop, support, and enhance the True Opportunity (TO) system for the Wood Products division
• Design, deploy, monitor, and improve machine learning and AI solutions, from data preparation through production monitoring
• Build and maintain data pipelines using the division’s Azure data platform
• Develop agentic AI and LLM applications using tools such as retrieval, tool use, context engineering, and evaluation
• Use AI coding tools while applying strong testing, code review, and validation practices
• Support projects involving machine learning, generative AI, machine vision, IIoT, predictive maintenance, and process monitoring
• Establish and follow standards for data, models, code, deployment, documentation, governance, and security
• Partner with plants and regional teams on implementation, upgrades, data capture, metric calculations, and user training
• Provide technical guidance, mentoring, project support, and stakeholder updates
• Manage project scope, schedules, budgets, requirements, vendors, and change orders
• Evaluate emerging AI technologies and apply those that provide practical business value
• Support integration between True Opportunity (TO) and other Boise Cascade systems
• Promote safety, quality, environmental awareness, and continuous improvement
• Perform other duties and responsibilities as assigned

Requirements:

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience
• 3+ years of experience in applied machine learning, data engineering, or AI development
• Demonstrated success delivering AI or data science solutions into practical use
• Experience with agentic coding tools such as Claude Code, GitHub Copilot, or Codex, and with developing LLM applications or agent harnesses
• Strong Python and SQL skills, with the ability to validate AI-generated code, models, and results
• Experience taking models from development through deployment, monitoring, and retraining
• Working knowledge of Azure, Azure DevOps, Power BI, and related services such as ADLS, App Service, and Azure AI Foundry
• Ability to work independently and collaborate effectively across functions and organizational levels
• Willingness to provide mentoring and training
• Master's degree in Computer Science, Data Science, or a related field
• Manufacturing experience, especially in the wood products industry
• Experience with industrial systems such as Allen-Bradley PLCs, Ignition SCADA, OPC UA, MQTT, or historians
• Experience with computer vision, edge deployment, time-series modeling, or anomaly detection
• Familiarity with lakehouse and columnar data technologies, including Parquet, DuckDB, and medallion architecture
• Azure certification such as AI-102 or DP-100, or equivalent experience
• Portfolio demonstrating data management, creativity, and initiative