ML Engineer

Primary Responsibilities

• Develop Machine Learning Models
• Design, build, and optimize machine learning models, including feature engineering, model selection, training, and validation across multiple AI use cases.
• Model Deployment & Serving
• Operationalize and deploy batch and real-time inference solutions using cloud-native services and containerized architectures, ensuring performance, reliability, and cost efficiency.
• ML System Design & Integration
• Design end-to-end ML systems that integrate seamlessly with application use cases and data platforms, supporting scalable and maintainable solutions.
• Monitoring & Observability
• Implement robust monitoring for model performance, data drift, prediction accuracy, latency, and implement retraining strategies based on feedback and evolving data.
• Establish alerting and diagnostics to support rapid issue detection and remediation.
• CI/CD for AI Systems
• Develop and maintain CI/CD workflows for machine learning assets, including code, features, models, and configurations, enabling safe and repeatable releases into production.
• Data & Feature Pipelines
• Collaborate with data engineering teams to ensure reliable data ingestion, feature engineering, and versioning to support consistent model behavior across environments.
• Design, and build pipelines that enable efficient training and inference ML workflows.
• Governance & Responsible AI
• Support enterprise AI governance by enabling model lineage, reproducibility, auditability, and controlled promotion across environments in alignment with Responsible AI principles.
• Cross-Functional Collaboration
• Partner with data scientists, AI engineers, product managers, IT, and cybersecurity teams to operationalize models into production-ready solutions.
• Platform Enablement
• Contribute to shared ML tooling, standards, and reference architectures that accelerate delivery of machine learning solutions across Weyerhaeuser’s AI Factory.
• Continuous Improvement
• Identify opportunities to improve reliability, automation, scalability, and developer productivity across the AI delivery lifecycle.

Job Information

Technology Primary Location: USA-WA-Seattle

Schedule: Full-time

Job Level

Individual Contributor

Job Type

Experienced

Education

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field; advanced degree is a plus.

Experience

• 6-8 years of experience building and supporting production machine learning systems, data platforms, or cloud-native software services in enterprise environments.

ML & Model Development

• Hands-on experience with end-to-end machine learning lifecycle, including feature engineering, model development, training, evaluation, and operationalizing models in production environments.

Cloud & Infrastructure Experience

• Experience with cloud platforms such as AWS or Azure, including containerization (Docker), orchestration (Kubernetes or managed equivalents), and infrastructure-as-code (Terraform\Ansible).

Data & ML Tooling

• Familiarity with tools such as MLflow, SageMaker, Kubeflow, Statsig, Airflow, or similar orchestration and experiment-tracking frameworks.

Programming Skills

• Strong proficiency in Python and version control (git); working knowledge of SQL; familiarity with APIs and microservices architectures.

Enterprise Data Platforms Experience

• Familiarity with geospatial data sets.

Operational Mindset

• Strong understanding of reliability, scalability, security, and cost optimization when operationalizing models in production.

Collaboration & Communication

• Motivated by solving complex business problems and building intelligent systems that scale responsibly.

Learning Orientation

• Demonstrated curiosity and commitment to staying current with evolving ML practices, tools, and AI platform capabilities.

About Weyerhaeuser

We sustainably manage forests and manufacture products that make the world a better place. We’re serious about safety, driven to achieve excellence, and proud of what we do. With multiple business lines in locations across North America, we offer a range of exciting career opportunities for smart, talented people who are passionate about making a difference. We know you have a choice in your career. We want you to choose us.

What We Offer

• Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $106,900-$160,400 based on your level of skills, qualifications and experience.
• Potential plan funding may range from zero to two times that target.
• Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career.
• Retirement: Employees are able to enroll in our company’s 401k plan, which includes a paid company match in addition to our contribution equal to 5% of your eligible pay
• Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees.

Attention Internal Applicants

To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance.

For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: wy.com/applicants

Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.