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Senior Staff Machine Learning Engineer

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Spotify

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Location:
United States , New York

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

264641.00 - 378058.00 USD / Year
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Job Description:

The Home team sits at the heart of the Spotify experience. Home is where hundreds of millions of listeners discover what to play next, re-engage with what they love, and build habits that keep them listening every day. Our mission is to deliver the most compelling, intuitive, and dynamic personalized Home experience in the world, across music, podcasts, audiobooks, and emerging formats. Generative AI, large-scale recommender systems, and real-time personalization are fundamentally reshaping how Home is built and experienced. From generative candidate generation and ranking to adaptive layouts, page composition, and real-time personalization, Home is where Spotify’s most advanced ML capabilities meet direct user impact. We are looking for a hands-on Senior Staff Machine Learning Engineer to provide technical leadership for machine learning systems powering Spotify Home. This is a highly impactful individual contributor role focused on shaping the ML strategy, architecture, and execution for Home, while working closely with product, design, data science, and engineering partners. Join us and help define how Spotify feels the moment users open the app.

Job Responsibility:

  • Define and drive the machine learning technical strategy for Spotify Home
  • Work at the intersection of recommender systems, generative models, and user intent understanding
  • Lead hands-on development of ML models and systems, from prototyping to productionizing
  • Provide senior-level technical leadership across multiple teams
  • Design, build, evaluate, ship, and iterate on large-scale ML systems
  • Partner closely with product, design, and user research
  • Drive best practices in experimentation, offline/online evaluation, model lifecycle management, and reliability
  • Help evolve Home toward more contextual, generative, and intent-aware experiences
  • Collaborate with platform and foundation teams
  • Mentor senior engineers and influence technical standards
  • Act as a technical ambassador for Home within Spotify’s broader ML community

Requirements:

  • Deep background in machine learning and recommender systems
  • Extensive experience building and operating large-scale, user-facing ML systems in production
  • Comfortable working across the full ML stack: data, modeling, evaluation, serving, experimentation, and iteration
  • Hands-on experience with or strong interest in transformer-based models, sequence modeling, and/or generative approaches in recommender systems
  • Production experience with languages such as Python, Java, or Scala
  • Experience with PyTorch, TensorFlow, or JAX is a strong plus
  • Strong systems thinker who can reason about latency, scalability, trade-offs, and end-to-end architecture
  • Thrive in ambiguity and can lead high-impact initiatives
  • Communicate clearly and effectively, influencing across engineering, product, design, and leadership
  • Care deeply about experimentation, data-driven decision making, and user experience quality
  • Strong bias to action: building prototypes and MVPs, launching systems in production, and defining clear technical narratives
  • Take a team-first approach, helping others succeed while raising the technical bar
  • Demonstrated success leading complex technical initiatives and shaping strategy through collaboration
  • Passion for crafting experiences that delight users
What we offer:
  • Equity
  • 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
  • Extensive learning opportunities
  • Flexible share incentives
  • Global parental leave
  • Employee assistance program and self-care hub
  • Flexible public holidays

Additional Information:

Job Posted:
January 06, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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