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Top Hybrid Data Engineer Jobs in Seattle, WA
Manage a team of Data Scientists to develop machine learning models to enhance business growth opportunities. Define data requirements, extract data from warehouses, build robust predictive models, and educate business teams on model implications. Oversee all aspects from problem identification to solution implementation within an enterprise setting.
The Lead Machine Learning Engineer will develop, implement, and optimize recommendation algorithms for Disney's media platforms. This role involves collaborating with engineering and product teams to achieve personalization goals, maintain ETL pipelines, and ensure best practices in algorithm development. The engineer will also drive the roadmap for algorithmic projects to enhance content recommendations.
As a Machine Learning Engineer, you will build and scale ML model pipelines, implement MLOps, write production-ready code, and collaborate with clients and global teams to deliver AI solutions. You will also engage in research to evaluate new architecture patterns and technologies.
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The Senior Machine Learning Engineer will research, design, and build machine learning systems to enhance customer engagement. They will lead the development of scalable ML solutions, promote best practices in data science, and collaborate with cross-functional teams to address challenges in product development.
As a Data Engineer, you will build and maintain data infrastructure to enhance revenue growth and seller acquisition at Square. This role involves creating data pipelines, collaborating with engineering teams, analyzing data sources, and supporting business reporting and optimization efforts. You'll also assist in data analysis and serve as a bridge between engineering and marketing teams.
As a Data Engineer on the Marketing Data Engineering team, you will build and maintain essential data infrastructure, develop ETL processes, and collaborate with various teams to ensure accurate data flow and reporting. Your role directly influences revenue growth and stakeholder decision-making through efficient data pipelines and anomaly detection.
As a Sr. Machine Learning Engineer, you'll design and enhance ML applications, running experiments and maintaining systems for real-time bid requests. Collaborate with engineering teams, optimize performance, and stay updated on industry advancements to deliver high-quality ML products.
Top hybrid Companies in Seattle, WA Hiring Data + Analytics Roles
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