Himalayas รีโมท / WFH Teknologi & IT Full Time

Machine Learning Engineer - Personalization, Horizon

Spotify

United Kingdom, United States ไม่เปิดเผยเงินเดือน Posted 8/5/2026
Location United Kingdom, United States
Salary ไม่เปิดเผยเงินเดือน
Job Type Full Time · Remote
Country Inggris

Job Description

Full details about the role and requirements

Yukerja Summary

The Machine Learning Engineer - Personalization, Horizon role at Spotify is curated from Himalayas (category Teknologi & IT). This role is marked as remote — check timezone and location requirements on the official listing. Yukerja.com is not the employer — applications are handled on the official source site.

Join the Personalization team at Spotify to design, build, and ship agentic based features and interactive experiences using machine learning. Collaborate with cross-functional teams to build new product features that advance Spotify's mission to connect artists and fans in personalized and useful ways.

Requirements

  • Design, build, evaluate, and ship agentic based features and interactive experiences
  • Collaborate with cross functional teams
  • Prototype new approaches and productionize solutions at scale
  • Promote best practices of ML systems development, testing, evaluation, etc.
  • Contribute to a strong community of machine learning practitioners at Spotify

Benefits

  • Flexible work arrangements
  • Opportunity to work with a diverse team
  • Inclusive and accessible recruitment process

Originally posted on Himalayas

Disclaimer: Yukerja.com is a job aggregator, not an employer. This listing is aggregated from Himalayas. Applications are processed on the official company or source site. We are not responsible for listing accuracy.

Tips for Applying to Machine Learning Engineer - Personalization, Horizon

  1. Read the full description and ensure your skills match before applying to Spotify.
  2. Tailor your CV and cover letter to keywords in the job description — especially for Teknologi & IT roles.
  3. Click Apply Now to go to Himalayas. The hiring process is entirely on the source site.
  4. Prepare an updated portfolio or LinkedIn profile if required during screening.
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