Senior ML Engineer — Production AI & Cloud Automation

Weyerhaeuser; Seattle (WA); On-site; USD 107,000 - 160,000; Full time

Benefits offered by this job

Annual merit increase program

Cash bonus targeting 15% of base pay

Medical, dental, vision coverage

401k with company match

Paid time off

Volunteer opportunities

Job summary

Weyerhaeuser in Seattle is seeking an experienced ML Engineer to design, build, and operationalize production machine learning solutions across pricing optimization, industrial AI, geospatial analytics and generative AI.

You will work at the intersection of data science, software engineering, and cloud infrastructure to deliver reliable, scalable AI services and to drive measurable business value in production.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 6–8 years of experience building and supporting production machine learning systems, data platforms, or cloud-native software services in enterprise environments.
• Experience with cloud platforms (AWS or Azure), containerization (Docker), orchestration (Kubernetes), and IaC tools (Terraform/Ansible).
• Familiarity with ML tooling (MLflow, SageMaker, Kubeflow) and orchestration frameworks.
• Strong Python and Git skills, plus SQL and API/microservices familiarity.
• Experience integrating ML workloads with enterprise data platforms (Snowflake, SAP) and geospatial data.
• Collaborative skills to work with both technical and non-technical stakeholders.

Responsibilities

• Develop, train, deploy, and operationalize machine learning models across multiple AI use cases.
• Design end-to-end ML systems that integrate with data platforms and applications.
• Implement monitoring, data drift checks, latency tracking, and retraining strategies.
• Develop and maintain CI/CD workflows for ML assets including code, models, and configurations.
• Collaborate with data engineers to ensure reliable data ingestion and feature pipelines.
• Advise on governance, reproducibility, and Responsible AI across environments.
• Partner with data scientists, AI engineers, product managers, IT, and security to productionize models.
• Contribute to shared ML tooling, standards, and reference architectures.

Skills

Python

Git

SQL

Docker

Kubernetes

APIs

MLflow

SageMaker

Kubeflow

Geospatial data

Education

Bachelor’s degree in CS/Engineering/IS

Tools

Snowflake

SAP

Job description

Weyerhaeuser in Seattle is seeking an experienced ML Engineer to design, build, and operationalize production machine learning solutions across pricing optimization, industrial AI, geospatial analytics and generative AI.

You will work at the intersection of data science, software engineering, and cloud infrastructure to deliver reliable, scalable AI services and to drive measurable business value in production.