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Boise Cascade

Machine Learning Engineer

Posted Yesterday
Remote
Hiring Remotely in USA
100K-150K Annually
Mid level
Remote
Hiring Remotely in USA
100K-150K Annually
Mid level
Develop and deploy machine learning, generative AI, agentic AI, machine vision, IIoT, predictive maintenance, and process-monitoring solutions for manufacturing operations. Build Azure data pipelines, manage models through production, establish governance standards, integrate systems, and support plant implementations. Collaborate with cross-functional teams, provide technical guidance and training, evaluate emerging technologies, and manage project scope, schedules, budgets, vendors, and change orders. Travel to Wood Products facilities is required, with approximately 25% travel for employees based outside the area.
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Join Boise Cascade’s Wood Products Innovation team to develop and deploy AI solutions that improve mill operations. You will support and enhance True Opportunity, our manufacturing optimization platform, while delivering applied machine learning, generative and agentic AI, machine vision, IIoT, predictive maintenance, and process-monitoring solutions across our manufacturing plants.

You will work with plant, regional, IT, and external partners to move solutions from proof of concept through pilot and into scalable, governed production use.

Key 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.

Basic Qualifications

  • 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.

Frequent travel to Wood Products facilities is required; approximately 25% travel may be expected for employees based outside the area.

Salary Range for this role is $100,000 - $150,000 DOE

#LI-Remote

Preferred Qualifications

  •  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.

About Boise Cascade

At Boise Cascade, you’ll find a place where you can do meaningful work, develop your talents, and build a lasting career. With a wide range of learning opportunities for all experience levels, we’re committed to providing avenues for continuous growth. When you join our team, you become part of a connected workplace culture where we look out for one another, do the right thing, work safely, treat people with respect, and continually look for ways to improve. Boise Cascade is one of the largest U.S. wholesale distributors of building materials and a leading manufacturer of engineered wood products and plywood in North America. We bring people, products, and services together to build strong homes, businesses, and communities. We operate more than 60 distribution and manufacturing facilities across the U.S. and Canada, and our work is powered by a dedicated team of over 7,500 people. Build your future with us. Learn more at www.bc.com. Boise Cascade, we build opportunities, communities, and careers. As one of the largest U.S. wholesale distributors of building materials and a leading manufacturer of engineered wood products and plywood in North America, our success begins with our people.

Our Benefits

WE SUPPORT YOUR WELLBEING.

Our people are the most important part of what we do. That’s why we provide benefits and resources to support the financial, physical, and mental well-being of everyone who works at Boise Cascade. We invest in associates by offering a comprehensive benefits package called Total Rewards, designed to have a positive impact on your overall well-being. 

  • Medical + Prescription Drug
  • Dental + Vision
  • Flexible Spending Accounts (Healthcare + Dependent Care)
  • 401(k) Retirement Savings with company contribution
  • Paid Time Off (20 days per year)
  • Paid Holidays (10 per year)
  • Paid Parental Leave (6 weeks)
  • Life Insurance
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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