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Boise Cascade is an equal employer

Machine Learning Engineer

Remote, United States

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

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Job details

Pay: Salary Range for this role is $100,000 - $150,000 DOE
Experience: 3+ years of experience in applied machine learning, data engineering, or AI development.
Posting language: English
Posted: Oct 29, 2026

Original job description

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

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

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More about this job

Skills

Machine learning
Wood products
Microsoft Azure
Documentation
Coaching
Process improvement
Computer science
Data engineering
GitHub
Python
SQL
DevOps
Microsoft Power BI
Work independently
Allen-Bradley
SCADA
Azure certification
DP
Data management

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