Spotify
Personalization
SeniorMachineLearningEngineer,Personalization,Rewards
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Machine Learning Engineer, Personalization, Rewards at Spotify. Skills: Machine Learning, Reinforcement Learning, RL for recommendations, statistics, optimization, sequential models, transformers, generative AI, large language models. designing, scaling, building, evaluating, integrating, shipping, and refining reward signals for recommendations. ML development”
What You'll Achieve.
keep millions of users listening by making great recommendations; making deciding what to listen to next feel effortless for hundreds of millions of users; shaping how users discover and engage with audio through intelligent, responsive systems
Industry & Context.
What They're Looking For.
Must Have
background in machine learning, Reinforcement Learning (RL) expertise, experience in RL for recommendations, Expertise in statistics and optimization, expertise in sequential models, expertise in transformers, expertise in generative AI, expertise in large language models (LLMs are a plus)
Nice to Have
LLMs are a plus, relevant fine-tuning processes
What You'll Do.
and refining reward signals for recommendations
align across PZN to integrate and A test mid-term signals in various recommendation and discovery systems
Promote and role-model best practices of ML systems development
and evaluation throughout the organization
ML development: prototyping models
productizing/scaling models
and launching A tests for personalized generative recommendations
How You'll Work.
Team & Collaboration
Lead collaborations and align across PZN
Full Job Description
## Description The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. The Personalization team at Spotify makes deciding what to listen to next feel effortless for hundreds of millions of users — from Discover Weekly to our newest AI-powered experiences. We’re now building conversational AI capabilities that let users interact with Spotify in natural language. You’ll join a squad working at the core of this space, shaping how users discover and engage with audio through intelligent, responsive systems. ## What You'll Do Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development. Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation and discovery systems. Promote and role-model best practices of ML systems development, testing, and evaluation throughout the organization. In your first 6 months, you will be responsible for ML development: prototyping models, building pipelines, productizing/scaling models, and launching A/B tests for personalized generative recommendations at Spotify. ## Who You Are You have a strong background in machine learning and enjoy applying theory to develop real-world applications. Reinforcement Learning (RL) expertise is key, and experience in RL for recommendations is a must have. Expertise in statistics and optimization, especially in sequential models, transformers, generative AI, large language models (LLMs are a plus), and relevant fine-tuning processes. ## Where You'll Be This role is based in New York We offer you the flexibility to work where you work best
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