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Machine Learning Engineering Manager, Personalization

1 month ago
United States
Full-time
Lead
Engineering Manager
Software Development
Generative AI LLM Machine Learning
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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
View All Jobs 17

Description

  • Lead, coach, and develop a team of machine learning engineers while building an inclusive, high-performing culture.
  • Set technical direction and partner with Product, Data Science, and Engineering leaders to deliver machine learning capabilities.
  • Guide the design, development, deployment, and operation of production machine learning systems at scale.
  • Support engineers through technical mentorship, career development, performance management, and feedback.
  • Drive execution by prioritizing work, removing obstacles, and improving delivery.
  • Foster engineering excellence through modern software engineering practices, experimentation, and operational excellence.
  • Partner across squads and missions to align technical strategy across the Personalization organization.
  • Champion adoption of emerging machine learning technologies, including large language models, where they create user value.

Requirements

  • Experience leading and developing high-performing engineering teams.
  • Experience coaching, mentoring, and supporting engineers in career growth.
  • Deep expertise building and operating production machine learning systems at scale.
  • Understanding of the end-to-end machine learning lifecycle, from experimentation through deployment and monitoring.
  • Experience with modern machine learning techniques, including large language models and generative AI applications.
  • Ability to communicate effectively across engineering, product, and data science partners.
  • Commitment to building inclusive teams that value collaboration, curiosity, and continuous learning.
  • Ability to balance technical excellence with pragmatic decision-making and business outcomes.
  • Must be able to work within the Eastern Standard time zone.
  • Experience with fine-tuning models to improve recommendation quality is implied as part of the role.

Benefits

  • Base salary range of $184,049 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

Apply Now

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