Machine Learning Engineer, Personalization | Life at Spotify

Spotify

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Job Description

Job Overview

The Machine Learning Engineer for Personalization at Spotify will contribute to the design, development, and refinement of products through hands-on machine learning development. Working within a cross-functional agile team, this role focuses on building new product features that enhance the user experience by connecting artists and fans in personalized ways. The team is dedicated to developing Responsible AI solutions to ensure safe and enjoyable experiences for millions of users.

Technical Requirements

Required Skills
  • • machine learning
  • • personalized machine learning algorithms
  • • recommender systems
  • • production machine learning systems
  • • Java
  • • Scala
  • • Python
Preferred Skills
  • • XGBoost
  • • TensorFlow
Experience Level

Strong background with hands-on experience in large-scale machine learning implementations

Responsibilities

  • • Design, build, evaluate, ship, and refine Spotify’s product through ML development
  • • Collaborate with a cross-functional agile team to build product features
  • • Prototype new approaches and productionize solutions at scale
  • • Drive optimization, testing, and tooling to improve quality
  • • Engage with a community of machine learning practitioners

Technical Environment

Languages
Tools & Technologies

Benefits & Perks

  • • Extensive learning opportunities
  • • Flexible share incentives
  • • Global parental leave of six months
  • • Employee assistance program and self-care hub
  • • Flexible public holidays
  • • Health insurance
  • • 401(k) retirement plan
  • • Monthly meal allowance
  • • 23 paid days off
  • • 13 paid flexible holidays
  • • Paid sick leave

Additional Information

Location
New York, Boston, North America region
Type
Permanent
Compensation
$136,878- $195,540 plus equity

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

Skills & Technologies