Senior Machine Learning Engineer, Personalization, Muse

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

You are experienced in machine learning and enjoy solving complex real-world problems in collaborative environments

You have a strong background in machine learning, natural language processing, and generative AI

You are comfortable applying theory to build real-world, production-ready applications

You have hands-on experience building and deploying end-to-end ML systems at scale

You are familiar with LLM-based systems and techniques for improving them using human feedback such as reinforcement fine-tuning, DPO, or similar approaches

You have experience designing modular ML architectures and writing technical specifications in partnership with product teams

You are experienced with large-scale distributed data processing tools such as Apache Beam or Apache Spark

You have worked with cloud platforms like GCP or AWS