Browse Jobs | JobMaxx

Press / to jump to search. Quotes find an exact phrase in the job post.

1497 live matches100% show salary1 filters on

1497 live matches

1 active filters

100% show salaryAverage in USD: $189,520 - $267,696

Showing 281-300 of 1497

Staff Machine Learning Engineer, Personalization

Spotify

New York, NY·$227,495 - $324,993

$227,495 - $324,993

senior

RemoteData and AIVerified

Source checked 10 hours ago.

Posted 1 month ago.

Preview below. Want everything? Open the full job page.

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.
Surfaces Moments is a ML team within the Personalization Mission focused on creating moment-based experiences across Spotify surfaces.
The team owns and evolves the experiences that help listeners quickly connect with the content that matters most to them, including the Home Shortcuts experience and the underlying intelligence that powers it.
By combining cutting-edge machine learning, recommendation systems, and product thinking, the team delivers highly relevant, personalized experiences to millions of listeners around the world.
As a Staff Machine Learning Engineer, you will help shape the future of personalized discovery and engagement at Spotify.
You'll work at the intersection of recommendation systems, large language models, and production-scale machine learning infrastructure to build experiences that delight users and drive meaningful impact.
This role is ideal for someone who enjoys taking models from research to production, driving technical direction in ambiguous problem spaces, and solving complex personalization challenges at global scale.
The United States base range for this position is $227,495- $324,993 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, 13 paid flexible holidays, paid sick leave.
These ranges may be modified in the future.
Spotify is an equal opportunity employer.
You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones.
Our platform is for everyone, and so is our workplace.
The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking!
So bring us your personal experience, your perspectives, and your background.
It's in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone.
We have ways to request reasonable accommodations during the interview process and help assist in what you need.
If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can.

Open full job page Apply on source site

Report listing

Noticed something bad about this listing? Log in as a job seeker and report it so we can review it.

Apply Report

Jobs

Job listings

Commercial Finance Business Partner

Forward Deployed Software Engineer - NYC

Senior Product Designer

Administrative Assistant IV

Brand Marketing Manager

Senior Director, IT (Seattle Preferred)

Business Lead, Special Situations

Staff Machine Learning Engineer, Personalization

Staff CIAM Software Engineer

People Analytics Lead - Recruiting

Staff, Escalation Manager

Affirm Bank Strategic Finance Manager

Product Manager, API Infrastructure

Head of Marketplace

Staff Software Engineer- Tax Credits

Manager, Forward Deployed Engineering

Principal Software Engineer

GTM Senior Business Systems Analyst

Technical Recruiter | Engineering

Software Engineer, New Grad (Dec 2026)