Spotify

Spotify

Machine Learning Engineer

New York, New York, USA · full-time

Sponsorship not specified$148k-$212kDetected 49 days ago
PythonJavaScalaGCPCloud PlatformsMachine LearningPyTorchSparkNLPLLMsMLOpsStatisticsA/B TestingResearch

About the role

  • The Personalization team makes deciding what to play next easier and more enjoyable for every listener.
  • From Blend to Discover Weekly, we're behind some of Spotify's most-loved features.
  • We built them by understanding the world of music and podcasts better than anyone else.

Responsibilities

  • Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development.
  • Lead collaborations and align across Personalization to integrate and A/B test mid-term signals in various recommendation systems.

Requirements

  • Experience with PyTorch, Ray, Hugging Face and related tools is required.
  • You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like Google Cloud Platform or AWS.
  • You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones.

Compensation

  • $148k-$212k

Benefits

  • You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders.
  • You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages.
  • The United States base range for this position is $148,000 $212,000 plus equity.
  • The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave.

Company info

  • Where You'll Be We offer you the flexibility to work where you work best!
  • At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone.

Equal opportunity

  • equal opportunity employer.
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This listing is sourced directly from Spotify's careers page and normalized into a canonical job model.