Hiring: Machine Learning Engineer Company: Weyerhaeuser Location: Seattle, WA Job Posted Time: 2026-09-16 20:38:08 Employment Type: Full-time Target Skills & Keywords : AWS, Airflow, Azure, CI/CD, Kubeflow, MLOps, MLflow, Machine Learning, Python, SAP, SQL, SageMaker, Snowflake About the job Experience: •2-4 years of experience developing or supporting machine learning systems, data platforms, or cloud-native software services. Experience in an enterprise environment is preferred. •4 years of experience developing or supporting machine learning systems, data platforms, or cloud-native software services. Experience in an enterprise environment is preferred. Required Skills: •Operationalize Machine Learning Models: Develop and maintain MLOps pipelines that support model training, validation, deployment, and retraining across AI use cases, with guidance from senior engineers and architects. •Model Deployment & Serving: Support deployment of batch and real-time inference workloads using cloud-native services and containerized architectures, with attention to performance, reliability, and cost efficiency. •Monitoring & Observability: Implement and maintain monitoring for model performance, data drift, prediction quality, latency, and system health. Assist with alerting, diagnostics, and issue remediation. •CI/CD for AI Systems: Build and maintain CI/CD workflows for machine learning assets, including code, features, models, and configurations, enabling safe and repeatable releases. •Data & Feature Pipelines: Collaborate with data engineering teams to support reliable data ingestion, feature generation, and versioning for consistent model behavior across environments. •Governance & Responsible AI: Support enterprise AI governance by implementing practices for model lineage, reproducibility, auditability, and controlled promotion across environments in alignment with Responsible AI principles. •Cross-Functional Collaboration: Work with data scientists, AI engineers, product managers, IT, and cybersecurity teams to translate modeling work into production-ready services. •Platform Enablement: Contribute to shared MLOps tooling, standards, documentation, and reference architectures that accelerate AI delivery across Weyerhaeuser's AI Factory. Compensation: •$98,800 - $148,200 / year •Also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 10% of base pay Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!