Applied Scientist - Amazon Music Search Relevance jobs at Amazon in United States, Sunnyvale
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United States
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Sunnyvale
99 jobs found
14.08.2024
A
Amazon Applied Scientist - Amazon Music Search Relevance United States, California, Sunnyvale
DESCRIPTIONKey job responsibilities Design, development and evaluation of highly innovative models for predictive learning Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model...
DESCRIPTIONKey job responsibilities Design, development and evaluation of highly innovative models for predictive learning Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model...
DESCRIPTIONKey job responsibilities Design, development and evaluation of highly innovative models for predictive learning Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model...
DESCRIPTIONKey job responsibilities Design, development and evaluation of highly innovative models for predictive learning Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model...
DESCRIPTIONYou will work with business leaders, scientists, and engineers to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed ML...
DESCRIPTIONKey job responsibilitiesIn this role you will: Apply machine learning and natural language understanding techniques to improve our conversational interfaces and search algorithms Work closely with product managers and software...
DESCRIPTIONKey job responsibilities Build Computer Vision, Machine Learning and Generative AI models, perform proof of concept, experiment, optimize, and deploy your models into production. Investigate and solve exciting and difficult...
DESCRIPTIONKey job responsibilities Design, development and evaluation of highly innovative models for predictive learning Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model...
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