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Machine Learning Engineer - Personalization

SpotifyNew York, NY
On-site Full-time

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Experience Level

Entry Level

Qualifications

The ideal candidate will possess a strong background in machine learning, data analysis, and software development. You should have experience with Python, TensorFlow, or similar frameworks, and be comfortable working with large datasets. A solid understanding of recommendation systems and experience in deploying machine learning models in production environments is essential. Strong problem-solving skills, along with the ability to communicate complex concepts clearly, are crucial for success in this role.

About the job

Spotify is looking for a Machine Learning Engineer focused on Personalization to help shape how millions discover and enjoy music. This position centers on building and improving algorithms that customize recommendations for a wide range of listeners.

Role overview

As part of the team, you will design and implement machine learning models that enhance the listening experience. Collaboration with colleagues from different specialties is a regular part of the work, with the goal of delivering features that keep users engaged.

What you will do

  • Develop and refine algorithms to personalize music recommendations
  • Work closely with cross-functional teams to bring new features to life
  • Apply machine learning expertise to improve user satisfaction and engagement

Location

This role is based in New York, NY.

About Spotify

Spotify is a leading global audio streaming subscription service that gives you access to millions of songs and podcasts. With a commitment to innovation and user experience, Spotify is dedicated to enhancing the way people listen to music and connect with their favorite artists. Join a dynamic team that values creativity, collaboration, and the drive to make a difference in the world of audio entertainment.

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