ML Solutions Architect

3 weeks ago


London, Greater London, United Kingdom Amazon Full time

Achieve unparalleled success as an Applied Scientist at Amazon Music in Berlin, shaping the future of personalized recommendations.

About Amazon

At Amazon, we're passionate about delivering exceptional customer experiences. As an Applied Scientist, you'll be part of a dynamic team that's revolutionizing music consumption with cutting-edge AI technology.

Job Description

You'll lead the design, development, and deployment of data-driven models that deliver tailored content to customers based on their behavior and context. With access to vast audio data, metadata, and listening patterns, you'll craft innovative features that elevate the Amazon Music experience.

Key Responsibilities
  • Create novel ML solutions for customized musical joy:
    • Architect machine learning solutions that delight customers with personalized music experiences.
    • Implement and validate novel ideas through A/B testing and online experiments in collaboration with engineering teams.
  • Chart the course to musical discovery:
    • Set the strategy for personalization science and recommender systems.
    • Scout new directions to guide Amazon Music's quest to match each customer with their perfect playlists.
  • Publish pioneering research:
    • Produce innovative research on recommender systems that shapes the field and meets the high standards of peer-reviewed publications.
A Day in the Life

You'll lead innovation in ML to shape Amazon Music experiences for millions. Collaborate with talented engineers and scientists to guide research and build scalable models across our audio portfolio. Drive experiments and rapid prototyping, leveraging Amazon's data at scale. Innovate daily alongside world-class teams to delight customers worldwide through personalization.

About the Team

Our Berlin team breathes passion into Amazon Music, optimizing each recommendation for our customers' unique tastes. Scale your work across our music apps, web player, and Alexa devices, fine-tuning algorithms behind popular recommendation and personalization features. Collaborate with leading ML experts in Seattle and San Francisco to create the future of musical engagement.

Basic Qualifications
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals.
  • Experience programming or scripting languages like Python, Java, C, or C++.
  • Experience building models for business applications.
Estimated Salary Range: 120,000 - 180,000 EUR per annumOriginal Language Code: en

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