Aktuelle Jobs im Zusammenhang mit Senior Applied Science Manager, Amazon Music Personalization - Berlin, Berlin - Amazon Development Center Germany GmbH


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  • Berlin, Berlin, Deutschland Amazon Development Center Germany GmbH Vollzeit

    We are seeking a Senior Product Manager to join our Music ML and Personalization team at Amazon Development Center Germany GmbH.The ideal candidate will have a strong background in owning/driving roadmap strategy and definition, with experience in technical product management, program management or engineering.This role will be focused on building customer...


  • Berlin, Berlin, Deutschland Amazon Development Center Germany GmbH Vollzeit

    About the RoleWe are seeking a Senior Product Manager to join our Music ML and Personalization team at Amazon Development Center Germany GmbH. As a key member of our team, you will be responsible for defining and executing a strategy for becoming the world's most personalized audio streaming service.Key ResponsibilitiesDevelop and execute a product roadmap...


  • Berlin, Berlin, Deutschland Amazon Development Center Germany GmbH Vollzeit

    About the RoleWe are seeking a Senior Product Manager to join our Music ML and Personalization team at Amazon Development Center Germany GmbH. As a key member of our team, you will be responsible for defining and executing a strategy for becoming the world's most personalized audio streaming service.Key ResponsibilitiesDevelop and execute a product roadmap...

Senior Applied Science Manager, Amazon Music Personalization

vor 2 Monaten


Berlin, Berlin, Deutschland Amazon Development Center Germany GmbH Vollzeit
About the Role

We are seeking a highly skilled and experienced leader to manage our cross-functional team of Applied Scientists and Machine Learning Engineers in Berlin, Germany. As a Senior Applied Science Manager, you will be responsible for driving innovation in ML/AI models for customer and content understanding that drive key personalization tasks like recommendation, ranking, and experience optimization.

Key Responsibilities
  • Lead a group of Applied Scientists, ML Engineers, and Software Development Engineers to deliver innovation and solutions-in-production that utilize ML/AI to solve business and customer problems.
  • Advance the team's craftsmanship and drive continued scientific innovation as a thought leader and practitioner, influencing beyond your own team into the entire Personalization org.
  • Develop the roadmap for your team, in collaboration with other teams in the Personalization org and Music at large; oversee planning, and foster cross-team collaboration to execute on complex projects.
  • Hire and develop top talent, provide technical and career development guidance to people across the organization.
  • Leverage industry best practices to establish repeatable applied science practices, principles & processes.
  • Evangelize state-of-the-art and innovation to the wider Amazon Music org.
About the Team

The Music Machine Learning & Personalization team in Berlin is responsible for foundational ML/AI infrastructure in Amazon Music; providing ML artifacts that capture customer- and content insights; and key primitives for delivering a personalized customer experience, including ranking, experience optimization. The team works closely with other teams in the US (e.g. Seattle, San Francisco), and has a very vibrant, diverse, international, and multi-cultural atmosphere - like Berlin.

Requirements
  • PhD, or Master's degree in Computer Science, Machine Learning, Mathematics or related field.
  • Applied research experience.
  • Experience in leading scientists or machine learning engineers.
  • Experience in building machine learning models or developing algorithms for business applications.
  • Experience programming in Python or related language.
Preferred Qualifications
  • Experience building complex software systems, especially involving deep learning, machine learning, that have been successfully delivered to customers.
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals, strong publication record.
  • Experience with popular deep learning frameworks, including PyTorch.
  • Experience with learning LLMs and Gen AI, both textual and multi-modal approaches.