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

  • Design, scale, evaluate, integrate, ship, and refine reward signals for recommendation systems through hands-on ML development.
  • Collaborate with research scientists, data scientists, and engineers to prototype and productize state-of-the-art machine learning solutions.
  • Lead cross-team collaboration to integrate and A/B test mid-term signals across recommendation systems.
  • Promote best practices for ML system development, testing, evaluation, and experimentation within the team and across the organization.
  • Work on recommendation systems that impact Home personalization and user satisfaction.
  • Partner with stakeholders across Personalization to align on machine learning initiatives and delivery.
  • Contribute to the development of production ML systems at scale.
  • Support disciplined, data-driven experimentation and reliability in ML workflows.

Requirements

  • Strong background in machine learning with expertise in statistics and optimization.
  • Experience with sequential models, transformers, generative AI, and large language models, including fine-tuning processes.
  • Hands-on experience with large cross-collaborative machine learning projects and stakeholder management.
  • Experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages.
  • Required experience with PyTorch, Ray, Hugging Face, and related tools.
  • Experience with large-scale distributed data processing frameworks such as Apache Beam, Apache Spark, or Scio.
  • Experience with cloud platforms such as GCP or AWS.
  • Interest in agile software processes, data-driven development, reliability, and disciplined experimentation.
  • Ability to work within the North America region and collaborate during Eastern Standard Time.
  • Preferred background applying machine learning theory to real-world applications.

Benefits

  • Base salary range of $148,000 to $212,000 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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