Spotify

Spotify

Machine Learning Engineer, Personalization, Minesweeper

New York, New York, USA · full-time

Sponsorship not specified$138k-$198kDetected 49 days ago
PythonJavaScalaAlgorithmsSQLAWSGCPCloud PlatformsMachine LearningTensorFlowPyTorchSparkData AnalysisData EngineeringData ScienceLLMsRAGA/B TestingResearch

About the role

  • The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener.
  • We seek to understand the world of music, podcasts, and audiobooks better than anyone else so that we can make great recommendations to every individual person and keep the world listening.
  • For this role, you can be within the North America region as long as we have a work location.This team operates within the Eastern Standard time zone for collaboration.

Responsibilities

  • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.
  • We use AI and ML techniques, including Large Language Models, to understand music, podcasts and audiobooks, building reliable, scalable systems to distribute that knowledge to Spotify internal teams, users, and creators.
  • This is a unique opportunity to help develop and shape Spotify content enrichment, and recommendations.

Requirements

  • 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

  • $138k-$198k

Benefits

  • We are looking for a Machine Learning Engineer to join our team and help build the future of music, podcast and audiobook listening experiences for millions of listeners at Spotify.
  • Experience with Ray or TFX is a plus Bonus if you have experience with architecting near real time pipelines Where You'll Be We offer you the flexibility to work where you work best!
  • The United States base range for this position is $138,250- $197,500 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

  • Our platform is for everyone, and so is our workplace.
  • At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone.
  • You'll grow your skills in ML engineering at scale, work with a cross-functional team of Data Engineers, Backend Engineers, and researchers, and join a motivated and supportive team.

Equal opportunity

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