Senior Machine Learning Engineer, Personalization, Music Understanding

What You'll Do

• Design, build, evaluate, and ship LLM-based solutions that give users more adaptive control over their listening experience
• Work on prompted playlist experiences with a focus on music fulfillment and session generation
• Collaborate with cross-functional partners across user research, design, data science, product, and engineering
• Prototype new ML approaches and bring them into production at global scale
• Build and improve systems that connect artists and fans in personalized and meaningful ways
• Contribute to the development of scalable ML systems serving hundreds of millions of users
• Promote best practices in ML system design, testing, evaluation, and deployment across the organization
• Actively contribute to a strong community of machine learning practitioners at Spotify

Who You Are

• Experienced in machine learning and enjoy solving complex real-world problems in collaborative environments
• Strong background in machine learning, natural language processing, and generative AI
• Comfortable applying theory to build real-world, production-ready applications
• Hands-on experience building and deploying end-to-end ML systems at scale
• Familiar with LLM-based systems and techniques for improving them using human feedback such as reinforcement fine-tuning, DPO, or similar approaches
• Experience designing modular ML architectures and writing technical specifications in partnership with product teams
• Experienced with large-scale distributed data processing tools such as Apache Beam or Apache Spark
• Worked with cloud platforms like GCP or AWS