Description:

Join the Personalization team to enhance user experience on Spotify through personalized recommendations.
Develop and maintain a platform for high-scale, event-driven user behavior data to support machine learning projects.

Requirements:

Experience in building and operating large-scale backend systems and data pipelines.
Proficient in Java with experience in developing and deploying services for large user bases.
Hands-on experience with data processing frameworks and cloud technologies (e.g., Apache Beam, Scio, BigQuery).
Strong understanding of software engineering best practices and commitment to high-quality code.
Interest in emerging technologies related to data processing, backend engineering, and machine learning.

Competitive salary range of $132,948 - $189,927 plus equity.
Health insurance, six months paid parental leave, 401(k) retirement plan, monthly meal allowance.
23 paid days off, 13 paid flexible holidays, and paid sick leave.
Flexible work environment with options for remote work.

Skills

Benefits