Applied Scientist Amazon Music Machine Learning/personalization jobs at Amazon in United States, San Francisco
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United States
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San Francisco
174 jobs found
05.02.2025
A
Amazon Applied Scientist Amazon Music Machine Learning/Personalizat... United States, California, San Francisco
DESCRIPTIONKey job responsibilities Work backwards from customer problems to research and develop novel machine learning solutions for music and podcast recommendations. Through A/B testing and online experiments done hand in...
DESCRIPTIONKey job responsibilitiesGreat candidates for this position will be experts in the areas of data science, machine learning, computer vision, optimization, NLP, or statistics. You will have hands on experience...
DESCRIPTIONKey job responsibilitiesYou will have the opportunity to define go to market (GTM) strategy for Amazon Bedrock and lead cross functional initiatives to expand existing markets, develop scalable programs to...
DESCRIPTIONKey job responsibilitiesUse machine learning and statistical techniques to create scalable risk management systemsDesign, development and evaluation of highly innovative models for risk managementWorking closely with operations staff to optimize...
DESCRIPTIONKey job responsibilitiesGreat candidates for this position will be experts in the areas of data science, machine learning, computer vision, optimization, NLP, or statistics. You will have hands on experience...
DESCRIPTIONKey job responsibilities* Full stack development of Android mobile application, with exposure/cross over to iOS.* Experience including cross development technologies like React Native.* Ability to work semi independently with partner...
DESCRIPTIONAbout the RoleWe are looking for applied scientists to solve challenging and open ended problems in the domain of user and content safety. As an applied scientist on Twitch's Community...
DESCRIPTIONKey job responsibilities Work backwards from customer problems to research and develop novel machine learning solutions for music and podcast recommendations. Through A/B testing and online experiments done hand in...
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