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Machine Learning Engineer, II

March, 15

  • usaLondon / Stockholm
  • usaPermanent
  • usaPersonalization
  • usaRemote
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Overview: - Join the Personalization team at Spotify, focusing on recommendation algorithms. - Collaborate with engineers, research scientists, and data scientists. - Contribute to Spotify’s personalization products through hands-on ML development. Key Responsibilities: - Design, build, evaluate, ship, and refine Spotify’s personalization products. - Collaborate with cross-functional teams to advance mission of connecting artists and fans. - Prototype and productionize solutions at scale for active users. - Promote best practices of ML systems development and evaluation. - Be part of a group of machine learning practitioners in Europe. - Help develop a creator-first vision and strategy. 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 at scale 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: - Flexibility to work within the European region. - Operates within the GMT/CET time zone. (Note: Specific compensation and benefits details were not provided in the job description.)
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