Director, Machine Learning Engineering – Surfaces Foundation

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  • Spotify
  • New York, NY, NY
  • Full-Time
  • 3 weeks ago
  • $264,641 - $378,058
Spotify
Published
April 28, 2026
Location
New York, NY, NY
Category
Job Type

Director, Machine Learning Engineering – Surfaces Foundation: our view in 3 lines...

  • The Role: A senior machine learning engineering leader focused on personalization and recommender systems for a music and podcast streaming product. The role will define and execute machine learning technical strategy, build content and user representations, and shape serving and content-loading architecture for recommendation surfaces.
  • Requirements: The posting explicitly mentions generative recommender systems, agent frameworks, and LLMs as core technical areas. It also specifies work on recommender systems modeling and building content and user representations.

Job Description

Spotify’s Surfaces Foundation team builds the systems that power how personalized recommendations show up for hundreds of millions of listeners. From targeting and configuration to serving and evaluation, this team sits at the intersection of machine learning infrastructure and product experience. You’ll lead a group shaping how AI-driven recommendations evolve across every Spotify surface, helping teams move faster while keeping a strong, shared foundation.
The United States base range for this position is $281,196 - $401,709 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, 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.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Spotify transformed music listening forever when we launched in 2008. 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 chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Key Skills
? Key Skills in dark blue have been inferred based on similar industry roles
Recommender Systems Large Language Models (llms) Representation Learning Pytorch Tensorflow Model Evaluation & A/B Testing Machine Learning Strategy

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