Junior Backend Engineer - Learning Infrastructure

Sorry, this job was removed at 04:09 p.m. (CST) on Monday, May 26, 2025
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Stockholm
Hybrid
Music
The Role
The Hendrix Feature team is dedicated to developing a robust, Spotify-wide platform for machine learning features. This platform streamlines the productionization of ML models by mitigating the incidental complexities involved in creating and maintaining Features, both in their lineage, offline states, and online states.

What You'll Do

  • Identify collaboration opportunities to support the team and ensure successful collaboration with other teams and stakeholders
  • Is an expert in the backend domain and drives solutions to a broad set of problems across multiple domains for the squad
  • Delivers on large, complex tasks for features as defined and on schedule, managing all dependencies and communication cross-functionally
  • Work in an environment that supports your individual growth
  • Consider the inter-squad connections between features and the rest of the machine learning product area, and Spotify wide machine learning ecosystem

Who You Are

  • You have 1-3+ years of hands-on experience implementing production machine learning infrastructure at scale in Python, Java, Scala, or similar languages
  • You have a general understanding of data processing concepts
  • You have experience with agile software processes and modular code design following industry standards
  • You have deep experience with developing backend systems at scale and optimizing for performance

Where You'll Be

  • This role is based in Stockholm
  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 2-3 times per week

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The Company
HQ: Stockholm
9,574 Employees
Year Founded: 2006

What We Do

Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 50m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience.

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