Top Hybrid Machine Learning Engineer Jobs in Seattle, WA

The role involves developing and deploying end-to-end machine learning models, enhancing valuation systems, and applying advanced AI techniques to improve data-driven decision-making.

The Staff Machine Learning Engineer will create models for users and advertisers, perform code reviews, and build scalable products while collaborating with internal and external partners.

As a Senior Staff Demand Planner, you will design and deploy AI/ML capacity forecasting models, collaborate with teams to enhance forecasting accuracy, and develop analytics tools to manage capacity for ServiceNow's infrastructure.

The Machine Learning Engineer will build and deploy data products, collaborate cross-functionally, improve customer experiences, and mentor others in AI methods.

Lead the development and deployment of machine learning models for sponsored ads at Chewy. Collaborate with product leaders, mentor junior scientists, and publish research to enhance advertising solutions.

As an MLE Intern at Zoox, you'll create high fidelity synthetic data, develop AI models simulating road agent behavior, and enhance simulation tools for autonomous driving validation.

As an Applied Scientist II, you will work with cross-functional teams on projects that optimize software systems and improve ML components, while analyzing inefficiencies and proposing solutions.

The Machine Learning Engineer will design, build, and operate core recommendation systems, innovating ML/AI solutions, collaborating with a tech team, and driving project ideas based on business needs.