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