Senior Machine Learning Engineer, Personalization
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked just now — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 4h ago
The date the source published, not the day we noticed it (2026-10-14). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $167.5k–231.5k/yr
Middle 50% of 2288 listings that do state pay — Engineering · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Lever employer's own board first seen 1h ago · last seen just now
The listing
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.
Growlithe is a fast-moving squad within Spotify's Conversation Product Area, focused on bringing emerging Search and agentic experiences to life. We explore, define, build, validate, and optimize new ideas to help listeners discover the content they love. Our work spans personalized Search, music video discovery and ranking, audiobook Search expansion, and the foundations of more social Search experiences.
We're looking for a Senior Machine Learning Engineer to help shape the next generation of Search at Spotify. You'll work at the intersection of machine learning, personalization, and product development, turning complex challenges into intuitive discovery experiences for millions of listeners.
What You'll Do
Who You Are
- You have experience building, deploying, and improving machine learning systems in production environments.
- You have a strong understanding of machine learning approaches for information retrieval, search ranking, recommendation systems, or personalization.
- You are proficient in Python and comfortable working with modern machine learning frameworks and data processing tools.
- You have experience and a desire to lean into backend engineering at Spotify scale.
- You understand how to design and evaluate experiments, interpret model performance, and translate technical findings into product improvements.
- You have experience working with large-scale datasets and understand the challenges of building reliable, scalable machine learning systems.
- You are curious about emerging AI technologies, including large language models and agentic systems, and interested in their potential to improve discovery experiences.
- You enjoy working across disciplines, communicating technical ideas clearly, and learning from different perspectives.
- You are comfortable navigating ambiguity, taking ownership of complex challenges, and balancing experimentation with practical delivery.
Where You'll Be
- This role is based in Eastern Standard Time
- 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.
The United States base range for this position is 184,049–262,928 USD, plus 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, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.