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 the machine learning technical strategy at the intersection of generative recommenders and foundational user modeling.
  • Collaborate with a cross-functional agile team across user research, design, data science, product management, and engineering to build personalized product features.
  • Provide technical leadership to accelerate development, improve scalability, and push the boundaries of current machine learning methods.
  • Design, build, evaluate, ship, and refine personalization products through hands-on machine learning development.
  • Prototype new modeling approaches and productionize solutions at scale for hundreds of millions of active users.
  • Promote best practices in model development, testing, evaluation, reproducibility, and experimentation across the team and organization.
  • Engage with the broader machine learning community at Spotify and stay current with research to evolve team approaches.
  • Partner with other teams to translate product needs into foundational systems across the content lifecycle.
  • Mentor engineers and influence technical strategy by setting high standards for methodology and collaboration.

Requirements

  • Strong background in machine learning and recommender systems with the ability to bridge research and end-user impact.
  • Production experience building large-scale machine learning systems in Java, Scala, Python, or similar languages.
  • Experience with PyTorch, TensorFlow, or JAX is a strong plus.
  • Hands-on experience training and operating transformer models in production settings, or a strong interest in doing so.
  • Experience designing system architectures where machine learning models are key components of product experiences.
  • Demonstrated ability to lead projects from start to finish in close collaboration with team members and peers.
  • Comfort with ambiguity on high-impact projects and the ability to drive alignment across technical and product stakeholders.
  • Strong communication, systems thinking, stakeholder management, and cross-functional collaboration skills.
  • Bias to action with experience building MVPs, prototypes, and concise documents to move initiatives forward.
  • Enthusiasm for staying current on ML trends and applying emerging ideas to real-world challenges.
  • Experience leading technical initiatives and shaping strategic direction through cross-functional collaboration is preferred.
  • Ability to operate at the intersection of science and engineering with accountability to senior technical leadership.

Benefits

  • Base salary range of $264,641-$378,058 plus equity.
  • Health insurance.
  • Six months of paid parental leave.
  • 401(k) retirement plan.
  • Monthly meal allowance.
  • 23 paid days off.
  • 13 paid flexible holidays.
  • Paid sick leave.

Interested in this position?

Apply directly on the company website

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