Top Machine Learning Jobs in Seattle, WA

As a Machine Learning Engineer III at Chewy, you will lead the development of advertising solutions by deploying machine learning and data science to enhance product search, ranking, and prediction models. You will collaborate with product and engineering leaders, mentor junior scientists, and communicate findings to senior leadership, all while building a new Sponsored Advertising business from the ground up.

In this role, you will develop and maintain machine learning algorithms for personalization on Hulu's platforms. You'll work with engineering and product teams to optimize processes and explore innovative methods for recommendations. Your responsibilities include algorithm development, feature engineering, maintaining deployment standards, and collaborating on new personalization opportunities.

The Staff Machine Learning Engineer will collaborate with product managers and engineers to design and productionize machine learning models, improve service performance, and maintain a high-quality codebase. Responsibilities include building machine learning solutions, conducting experiments, and sharing knowledge within the team.

The Machine Learning Engineer II role at Remitly involves developing machine learning models for fraud prevention in financial services. The engineer will build models for transaction risk assessment, collaborate with infrastructure teams to meet performance requirements, and work on implementing new features collaboratively with scoring engineers.

The Senior Machine Learning Engineer will develop innovative pricing algorithms tailored to diverse parking scenarios, conduct research to create optimization models, work with complex datasets, and collaborate with cross-functional teams. The role requires implementing machine learning algorithms and communicating findings to varied audiences.

The Machine Learning Engineer II at Qualtrics will focus on enhancing customer care through machine learning and AI, developing and optimizing machine learning models, creating scalable data pipelines, and collaborating with cross-functional teams to solve complex customer problems.

The Senior Staff Scientist at IonQ will lead the development of quantum AI solutions, conduct research to discover new algorithms, and optimize hybrid applications on quantum computers. The role involves collaboration with PhD scientists and various teams while shaping long-term strategies for quantum AI application deployment.