Job Information
Amazon Manager Applied Science, Amazon Music Machine Learning/Personalization in Berlin, Germany
Description
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.
You will be managing a cross-functional team of Applied Scientists and (Machine Learning) Engineers, driving innovation in ML/AI models for customer and content understanding that drive key personalization tasks like recommendation, ranking, and experience optimization. You will lead your team in setting up roadmaps, experimentation and development, all the way to bringing new products out to improve the Amazon Music customer experience.
Key job responsibilities
Lead a group of Applied Scientists, ML Engineers and Software Development Engineers located in Berlin, Germany 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, also 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!
Basic Qualifications
- 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
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