ML Engineer

Weyerhaeuser is seeking a skilled ML Engineer to design, build, and operationalize machine learning solutions that are reliable, scalable, and secure. The role involves developing and deploying ML models across areas like pricing optimization, industrial AI, and geospatial analytics. You will work closely with data scientists and platform teams to transition experimental models to production-grade AI services.

• Design, build, and optimize machine learning models including feature engineering, training, and validation.
• Operationalize and deploy batch and real-time inference solutions using cloud-native services and containerized architectures.
• Design end-to-end ML systems integrating with application use cases and data platforms.
• Implement monitoring for model performance, data drift, and retraining strategies.
• Develop and maintain CI/CD workflows for ML assets.
• Collaborate with data engineering teams on data ingestion and feature pipelines.
• Support enterprise AI governance and responsible AI principles.
• Partner with cross-functional teams to operationalize models.
• Contribute to shared ML tooling and reference architectures.
• Identify opportunities to improve reliability and automation.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.