Manager of Applied Science in Machine Learning and Personalization

Job Description

Amazon Music is seeking a talented and experienced Manager of Applied Science to lead our Machine Learning and Personalization team in Berlin, Germany. This role is pivotal in driving innovation in ML/AI models that enhance customer and content understanding, focusing on key personalization tasks such as recommendation, ranking, and experience optimization.

Key Responsibilities

Leadership and Management: Lead a cross-functional team of Applied Scientists, Machine Learning Engineers, and Software Development Engineers. Guide the team in setting up roadmaps, experimentation, and development, ensuring the delivery of innovative solutions that utilize ML/AI to solve business and customer problems.
Innovation and Development: Advance the team's craftsmanship and drive continued scientific innovation. Develop the roadmap for your team in collaboration with other teams in the Personalization organization and the broader Amazon Music team.
Talent Development: Hire and develop top talent, providing technical and career development guidance to team members across the organization.
Collaboration and Influence: Foster cross-team collaboration to execute complex projects and influence beyond your own team into the entire Personalization organization.
Best Practices: Leverage industry best practices to establish repeatable applied science practices, principles, and processes.

About The Team

The Music Machine Learning & Personalization team in Berlin is responsible for foundational ML/AI infrastructure in Amazon Music. The team provides ML artifacts that capture customer and content insights and key primitives for delivering a personalized customer experience, including ranking and experience optimization. The team works closely with other teams in the US, such as those in Seattle and San Francisco, and has a vibrant, diverse, international, and multicultural atmosphere.

Basic Qualifications

PhD or Master's degree in Computer Science, Machine Learning, Mathematics, or a 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.
Proficiency in programming with Python or a related language.

Preferred Qualifications

Experience building complex software systems, especially involving deep learning and machine learning, that have been successfully delivered to customers.
Experience in patents or publications at top-tier peer-reviewed conferences or journals, with a strong publication record.
Experience with popular deep learning frameworks, including PyTorch.
Experience with learning LLMs and Gen AI, both textual and multi-modal approaches.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build.

Benefits
Extracted with AI

Diverse and inclusive work environment
Career development opportunities
Access to Amazon Music services

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