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Senior Machine Learning Engineer, Personalization - Remote

Posted 1 week ago
Software Development
Full Time
USA

Overview

The Personalization (PZN) team at Spotify is focused on making music, podcasts, and audiobooks recommendations easier and more enjoyable for users. This role involves working on products that cater to millions of listeners worldwide.

In Short

  • Be a technical leader within the team and Spotify.
  • Coordinate technical projects across teams.
  • Facilitate collaboration with engineers, product owners, and designers.
  • Architect, design, develop, and deploy ML models.
  • Work collaboratively in an autonomous, cross-functional agile team.
  • Contribute to Spotify’s ML community.

Requirements

  • Experience as a technical leader or mentor.
  • Strong background in machine learning and recommender systems.
  • Experience with tech specs and modular architectures for ML frameworks.
  • Experience in designing and building ML systems.
  • Knowledge of feature engineering and scalable data pipelines.
  • Deep understanding of ML systems and infrastructure.
  • Experience with TensorFlow or PyTorch; Kubeflow or Ray is a plus.
  • Experience with generative models is a plus.

Benefits

  • Flexible work location within North America.
  • Collaboration within the Eastern Standard time zone.
Spotify logo

Spotify

Spotify is a leading audio streaming platform that aims to make music and podcasts accessible and enjoyable for everyone. The Safe-and-Sound team at Spotify focuses on enhancing user experience by developing Responsible AI solutions that personalize recommendations for millions of listeners. By leveraging machine learning and collaborating with cross-functional teams, Spotify continuously innovates to connect artists and fans in meaningful ways, ensuring a safe and engaging environment for its users.

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