Spotify
Spotify6h ago
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Senior Machine Learning Engineer, Personalization, Rewards

United StatesUnited States·New YorkRemotesenior
Machine Learning EngineerData
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Machine Learning EngineerData

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 metrics—that directly shape the LLM-powered recommendation experience.


We are looking for a Machine Learning Engineer to make impactful changes to our recommendations and discovery algorithms. As an integral part of the squad, you will collaborate with research scientists, data scientists, and other engineers across PZN in prototyping and productizing state-of-the-art ML at the intersection of recommendations and long-term user satisfaction. 

  • 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.
  • 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.
  • 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
  • Location & Eligibility

    Where is the job
    New York, United States
    Remote within one country
    Who can apply
    US

    Listing Details

    Posted
    May 12, 2026
    First seen
    May 12, 2026
    Last seen
    May 12, 2026

    Posting Health

    Days active
    0
    Repost count
    0
    Trust Level
    76%
    Scored at
    May 12, 2026

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    Our mission is to unlock the potential of human creativity—by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it.

    Employees
    3k+
    Founded
    2006
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    SpotifySenior Machine Learning Engineer, Personalization, Rewards