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Senior Machine Learning Engineer, Personalization

February, 12

  • usaStockholm / London
  • usaPermanent
  • usaPersonalization
  • usaRemote
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Overview: - Senior Machine Learning Engineer role in Spotify's Personalization team. - Focus on developing and refining Spotify's personalization products. - Collaborate with cross-functional teams to advance mission of connecting artists and fans. Key Responsibilities: - Design, build, evaluate, ship, and refine ML products. - Collaborate with user research, design, data science, product management, and engineering teams. - Prototype and productionize solutions for millions of active users. - Promote best practices of ML systems development and evaluation. - Contribute to a creator-first vision and strategy. - Be part of a group of ML practitioners in Europe and beyond. Requirements/Skills/Qualifications: - Strong background in machine learning and experience with real-world applications. - Expertise in bandit algorithms, LLMs, general neural networks, and recommendation systems. - Hands-on experience with production ML systems in Java, Scala, Python, TensorFlow, PyTorch, Scikit-learn. - Experience with large-scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, Scio. - Familiarity with cloud platforms like GCP or AWS. - Agile software processes, data-driven development, reliability, and disciplined experimentation. - Passion for customer satisfaction. Compensation & Benefits: - Not specified in the provided text. Location: - Flexibility to work within the European region, excluding France. - Operates within the GMT/CET time zone.
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