Top Hybrid Data Engineer Jobs in Seattle, WA
The Data Manager will engage in developing innovative data-driven solutions for risk management, focusing on data acquisition, pipeline development, API creation, and collaboration with AI/ML teams. Responsibilities include data transformation, governance, and continuous process improvement.
The Principal Engineer, Machine Learning / AI will drive technical capabilities in ML and AI across multiple teams, mentor data scientists, lead technical standards, and advocate for best practices. The role involves hands-on development of ML/AI products and collaboration across various business units to enhance systems and products.
The Principal Machine Learning Engineer will design and implement machine learning components and services, build a training framework, optimize model performance using GPUs, and develop an AutoML platform. The role involves collaboration across teams to meet product requirements and advocating for best practices in system availability and scalability.
As a Principal Machine Learning Engineer on the Ad Ranking team, you will drive the technical roadmap, design and implement machine learning models for ad optimization, collaborate with various teams to align on strategies, and advocate for best practices to enhance performance and scalability.
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 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 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.
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