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Top Machine Learning Jobs in Seattle, WA
The Sr Machine Learning Engineer will develop and maintain algorithms for Hulu's recommendation system, using advanced machine learning methods. Responsibilities include feature engineering, optimizing data pipelines, and collaborating with product and data teams to enhance personalization and analysis processes.
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As a Senior Machine Learning Engineer, you will design, develop, and deploy advanced computer vision models for applications like object detection and video analytics. You will optimize models for performance, mentor junior members, and collaborate with cross-functional teams to deliver scalable end-to-end solutions.
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.
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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.
As a Senior Machine Learning Engineering Manager, you will lead the end-to-end machine learning lifecycle, from data collection to deployment. You'll implement novel techniques, mentor team members, and collaborate with cross-functional teams to ensure effective communication and innovation.
As a Senior Applied Scientist at Chewy, you will lead the deployment of machine learning and data science to enhance shopping experiences, develop new models, and influence product and engineering strategies. You will mentor junior scientists and present research findings to business leaders.
As a Senior AI Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, focusing on training and tuning deep learning models and evaluating large language models while working on data collection and feature engineering.
As an Applied AI Scientist, you will develop advanced algorithms for data analysis, execute statistical techniques on large datasets, evaluate emerging technologies, and contribute to the firm’s thought leadership through research and publishing.
The Staff ML Infrastructure Engineer will be responsible for defining the technical vision and architecture for Thumbtack's machine learning infrastructure, leading cross-functional teams, and establishing best practices. The role includes mentoring, strategic decision-making, and aligning ML capabilities with business goals, all to support the company's AI-first approach.
As a Principal Software Engineer in AI/ML Integrations, you will design, develop, and deploy AI & ML integration pipelines within the elluminate platform. Collaborate with data science teams to streamline data management and analytics for clinical trials, while ensuring scalability, performance, and security. Contribute to architectural decisions and mentor junior engineers in a collaborative environment.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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