Senior Machine Learning Engineer, Personalization, Music Understanding
Designs and deploys LLM-based ML systems for personalized music recommendations, playlist generation, and session experiences at Spotify scale. Requires expertise in ML, NLP, generative AI, and large-scale data processing tools.
About the job
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
Skills
Machine Learning, Natural Language Processing, Generative AI, LLMs, Reinforcement Learning, Dpo, Apache Beam, Spark, GCP, AWS
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