Machine Learning Engineer, GenRecs, Personalization | Life at Spotify

Spotify

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Job Description

Job Overview

The Personalization team at Spotify is seeking a Machine Learning Engineer to enhance user experience by understanding and recommending music, podcasts, and audiobooks. This role involves designing, building, and evaluating machine learning solutions that impact hundreds of millions of users globally. The team prioritizes collaboration across various functions to innovate personalized features and practices in machine learning development.

Technical Requirements

Required Skills
  • • machine learning
  • • natural language processing
  • • generative AI
  • • Python
  • • Pytorch
  • • TensorFlow
Preferred Skills
  • • Java
  • • Scala
  • • Apache Beam
  • • Apache Spark
  • • GCP
  • • AWS
Experience Level

Experienced ML practitioner with hands-on expertise in implementing end-to-end production ML systems at scale.

Responsibilities

  • • Design, build, evaluate, and ship ML solutions in Spotify’s personalization products
  • • Collaborate with cross-functional teams to build new product features
  • • Prototype new approaches and productionize solutions at scale
  • • Promote best practices of ML systems development, testing, and evaluation

Technical Environment

Languages
Frameworks
Tools & Technologies

Benefits & Perks

  • • Extensive learning opportunities
  • • Flexible share incentives
  • • Global parental leave - six months off for all new parents
  • • Employee assistance program and self-care hub
  • • Flexible public holidays

Additional Information

Location
Stockholm, London, or within the European region
Type
Permanent
Compensation
Not specified

About Spotify

Spotify is a digital music service that gives you access to millions of songs.

Company Size
unknown
Categories
Consumer Web digital Hospitality Hospitality & Travel music Music, Audio & Entertainment Music Streaming streaming