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Senior Machine Learning EngineerSpotifyNew York, New York, United States
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Senior Machine Learning Engineer

Spotify
  • US
    New York, New York, United States
  • US
    New York, New York, United States

About

The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix.
What You’ll Do
Design, build, evaluate, and ship an agentic based DJ solution that brings our DJ and interactive experiences to the next level.
Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and useful ways.
Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users.
Promote and role‑model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization.
Be part of an active group of machine learning practitioners.
Who You Are
An experienced ML practitioner motivated to work on complex real‑world problems in a fast‑paced and collaborative environment.
Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real‑world applications.
Hands‑on expertise with implementing end‑to‑end production ML systems at scale. Experience with production LLM scale based systems is a plus.
Experience with incorporating human feedback to improve LLM based systems using techniques like DPO, KTO, and reinforcement fine‑tuning.
Experience with designing end‑to‑end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams.
Experience with large‑scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS.
Where You’ll Be
We offer flexibility to work where you work best. For this role, you can be within the North America region as long as we have compliance with local regulations.
The United States base range for this position is $176,166 – $251,666 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, and paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward‑thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
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  • New York, New York, United States

Languages

  • English
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