Recommendation Systems

Senior Machine Learning Engineer, Personalization, Rewards

Spotify · New York, NY

CORE_AI_JOBlever2026-06-26

Machine Learning Reinforcement Learning Large Language Models LLMs Data Science MLOps Python

Why this is a real AI job:
The role explicitly focuses on developing and deploying Reinforcement Learning methods for Large Language Models to improve Spotify's recommendation algorithms. The description highlights core ML tasks like prototyping, productizing state-of-the-art models, and optimizing for user satisfaction metrics.

Excerpt

The Rewards team in Personalization (PZN) is defining the next generation of large-scale personalization at Spotify by pioneering novel Reinforcement Learning (RL) methods for Large Language Models (LLMs). We drive massive impact across all recommendations discovery surfaces by moving beyond simple clicks to model and optimize for true long-term user satisfaction. Our core mission is to bridge discovery with lasting listening habits by developing and deploying sophisticated, mid-term behavioral reward signals—such as retention and habit formation metric…

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