Spotify

Spotify

Spotify is a leading global audio streaming service empowering artists and inspiring fans worldwide with over 70 million tracks. It has 365 million users, including 165 million subscribers, across 178 markets.

Media
Founded 2006

Description

  • Define and drive the machine learning technical strategy for Spotify Home across retrieval, ranking, page composition, layout optimization, and real-time personalization.
  • Lead hands-on development of ML models and systems from prototyping to productionization at global scale.
  • Design, build, evaluate, ship, and iterate on large-scale ML systems that directly power the Home experience for hundreds of millions of users.
  • Work at the intersection of recommender systems, generative models, and user intent understanding to deliver adaptive and engaging Home experiences.
  • Partner closely with product, design, and user research to translate UX goals and user needs into robust ML solutions.
  • Drive best practices in experimentation, offline/online evaluation, model lifecycle management, and system reliability.
  • Collaborate with platform and foundation teams to leverage shared models and infrastructure while tailoring solutions to Home’s needs.
  • Mentor senior engineers, influence architectural and modeling choices, provide technical reviews and documentation, and act as a technical ambassador across Spotify’s ML community.

Requirements

  • Deep background in machine learning and recommender systems with a strong track record of translating ML innovation into shipped product impact.
  • Extensive experience building and operating large-scale, user-facing ML systems in production.
  • Hands-on experience across the full ML stack: data, modeling, evaluation, serving, experimentation, and iteration.
  • Experience with or strong interest in transformer-based models, sequence modeling, and generative approaches in recommender systems.
  • Production experience with Python, Java, or Scala; experience with PyTorch, TensorFlow, or JAX is a strong plus.
  • Strong systems thinking with the ability to reason about latency, scalability, trade-offs, and end-to-end architecture.
  • Proven ability to lead complex technical initiatives, shape strategy, and influence cross-functional stakeholders while thriving in ambiguity.
  • Excellent communication and collaboration skills to work effectively with engineering, product, design, user research, and leadership.
  • Bias to action: experience building prototypes/MVPs, launching systems in production, and driving technical narratives; team-first mindset and mentoring experience.
  • Location availability within the North America region and ability to collaborate in the Eastern Standard Time zone.

Benefits

  • United States base salary range $264,641–$378,058 plus equity.
  • Health insurance coverage.
  • Six months paid parental leave.
  • 401(k) retirement plan.
  • Monthly meal allowance.
  • 23 paid days off, 13 paid flexible holidays, and paid sick leave.
  • Flexible work location within North America (team operates in Eastern Standard Time) and accommodations available during the recruitment process.

Interested in this position?

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