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Machine Learning Engineer, Personalization

February, 12

  • usaNew York, NY / Boston, MA
  • usaPermanent
  • usaPersonalization
  • usaRemote
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Overview: - Join the Safe-and-Sound team at Spotify to enhance user experience through Responsible AI solutions. - Contribute to Spotify's product by developing machine learning (ML) features. Key Responsibilities: - Design, build, evaluate, ship, and refine Spotify's ML-driven product features. - Collaborate with cross-functional teams to advance the mission of connecting artists and fans. - Prototype and scale new solutions for millions of active users. - Drive optimization, testing, and tooling to improve product quality. - Participate in agile software processes and disciplined experimentation. Requirements/Skills/Qualifications: - Strong background in machine learning, with experience in personalized algorithms and recommender systems. - Hands-on experience with production ML systems in Java, Scala, Python, or similar languages. - Familiarity with XGBoost, TensorFlow is a plus. - Commitment to agile software processes, data-driven development, reliability, and experimentation. Compensation & Benefits: - Salary range: $136,878- $195,540 plus equity. - Benefits 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. - Flexibility to work within the North America region, operating within the Eastern Standard time zone.
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