Senior Machine Learning Engineer, Personalization, Rewards

1 month, 1 week ago
Full-time
Senior
Software Development
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, build, evaluate, integrate, ship, and refine reward signals for recommendations through hands-on machine learning development.
  • Lead cross-functional collaboration across Personalization to integrate and A/B test mid-term signals in recommendation and discovery systems.
  • Prototype models and build pipelines for personalized generative recommendations.
  • Productize and scale machine learning models for production use at Spotify.
  • Launch and analyze A/B tests for personalization and recommendation initiatives.
  • Promote best practices in ML systems development, testing, and evaluation across the organization.
  • Work with research scientists, data scientists, and engineers to prototype and productize state-of-the-art ML solutions.
  • Contribute to algorithms that optimize for retention, habit formation, and long-term user satisfaction.

Requirements

  • Strong background in machine learning with the ability to apply theory to real-world applications.
  • Reinforcement learning expertise, with required experience using RL for recommendations.
  • Experience with statistics and optimization.
  • Experience with sequential models, transformers, and generative AI.
  • Experience with large language models is a plus.
  • Experience with relevant fine-tuning processes.
  • Ability to collaborate with research scientists, data scientists, and engineers across teams.
  • Based in New York, with flexibility for some in-person meetings and work-from-home arrangements.

Benefits

  • Base salary range of $184,050 to $262,928 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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