Overview
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
What You’ll Do
- Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands‑on ML development
- Promote and role‑model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization
- Lead collaborations and align across PZN to integrate and A/B test mid‑term signals in various recommendation systems
Who You Are
- You have a strong background in machine learning, enjoy applying theory to develop real‑world applications, with expertise in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine‑tuning processes
- You have hands‑on experience with large cross‑collaborative machine learning projects and managing stakeholders
- You have hands‑on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with PyTorch, Ray, Hugging Face and related tools is required
- You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it – Scio, and cloud platforms like GCP or AWS
- You care about agile software processes, data‑driven development, reliability, and disciplined experimentation
Where You’ll Be
- We offer you the flexibility to work where you work best! For this role, you can be within the North America and EMEA region as long as we have a work location
- This team operates within the Eastern Standard time zone for collaboration
The United States base range for this position is $227,495- $324,993 equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Equal Opportunity Employment
Spotify is an equal opportunity employer. We welcome you for who you are, no matter where you come from, what you look like, or what’s playing in your headphones.
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