Spotify - Senior Machine Learning Engineer, Personalization, Music Understanding
Requirements
• 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 • Where You'll Be • This role is based in New York • 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. • The United States base range for this position is $184,050 $262,928 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. • At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Responsibilities
• 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
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT