Senior Machine Learning Engineer, Personalization, Music Understanding

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{
  "lists": [
    {
      "text": "What You'll Do",
      "content": "<div>\n\n<li><span style=\"font-size: 11pt;\">Design, build, evaluate, and ship LLM-based solutions that give users more adaptive control over their listening experience</span></li>\n<li><span style=\"font-size: 11pt;\">Work on prompted playlist experiences with a focus on music fulfillment and session generation</span></li>\n<li><span style=\"font-size: 11pt;\">Collaborate with cross-functional partners across user research, design, data science, product, and engineering</span></li>\n<li><span style=\"font-size: 11pt;\">Prototype new ML approaches and bring them into production at global scale</span></li>\n<li><span style=\"font-size: 11pt;\">Build and improve systems that connect artists and fans in personalized and meaningful ways</span></li>\n<li><span style=\"font-size: 11pt;\">Contribute to the development of scalable ML systems serving hundreds of millions of users</span></li>\n<li><span style=\"font-size: 11pt;\">Promote best practices in ML system design, testing, evaluation, and deployment across the organization</span></li>\n<li><span style=\"font-size: 11pt;\">Actively contribute to a strong community of machine learning practitioners at Spotify</span></li>\n\n</div>"
    },
    {
      "text": "Who You Are",
      "content": "<div>\n\n<li><span style=\"font-size: 11pt;\">You are experienced in machine learning and enjoy solving complex real-world problems in collaborative environments</span></li>\n<li><span style=\"font-size: 11pt;\">You have a strong background in machine learning, natural language processing, and generative AI</span></li>\n<li><span style=\"font-size: 11pt;\">You are comfortable applying theory to build real-world, production-ready applications</span></li>\n<li><span style=\"font-size: 11pt;\">You have hands-on experience building and deploying end-to-end ML systems at scale</span></li>\n<li><span style=\"font-size: 11pt;\">You are familiar with LLM-based systems and techniques for improving them using human feedback such as reinforcement fine-tuning, DPO, or similar approaches</span></li>\n<li><span style=\"font-size: 11pt;\">You have experience designing modular ML architectures and writing technical specifications in partnership with product teams</span></li>\n<li><span style=\"font-size: 11pt;\">You are experienced with large-scale distributed data processing tools such as Apache Beam or Apache Spark</span></li>\n<li><span style=\"font-size: 11pt;\">You have worked with cloud platforms like GCP or AWS</span></li>\n\n</div>"
    },
    {
      "text": "Where You'll Be",
      "content": "<div>\n\n<li><span style=\"font-size: 11pt;\">This role is based in New York</span></li>\n<li><span style=\"font-size: 11pt;\">We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.</span></li>\n\n</div>"
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    "team": "Personalization",
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    "commitment": "Permanent",
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