Senior Applied Science Manager, Amazon Music Personalization
vor 4 Wochen
We are seeking a highly skilled and experienced Senior Applied Science Manager to lead our Machine Learning team at Amazon Music in Berlin, Germany. As a key member of our team, 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, and processes.
- Evangelize state-of-the-art and innovation to the wider Amazon Music org.
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.
- 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.
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Berlin, Berlin, Deutschland Amazon Development Center Germany GmbH VollzeitAbout the RoleAs a Senior Applied Science Manager at Amazon Music, you will lead a cross-functional team of Applied Scientists and Machine Learning Engineers in driving innovation in ML/AI models for customer and content understanding. Your team will be responsible for developing key personalization tasks like recommendation, ranking, and experience...
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Berlin, Berlin, Deutschland Amazon Development Center Germany GmbH VollzeitAbout the RoleAs a Senior Applied Science Manager at Amazon Music, you will lead a cross-functional team of Applied Scientists and Machine Learning Engineers in driving innovation in ML/AI models for customer and content understanding. Your team will be responsible for developing and deploying machine learning models that improve the Amazon Music customer...
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Berlin, Berlin, Deutschland Amazon Development Center Germany GmbH VollzeitAbout the RoleAs a Senior Applied Science Manager at Amazon Music, you will lead a cross-functional team of Applied Scientists and Machine Learning Engineers in driving innovation in ML/AI models for customer and content understanding. Your team will be responsible for developing key personalization tasks like recommendation, ranking, and experience...
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