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Senior Machine Learning Engineer

Spotify

Senior Machine Learning Engineer

Spotify

New York, NY

·

On-site

·

Full-time

·

1w ago

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.

We are looking for a Machine Learning Engineer to join the Personalization team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with Spotify - and who make impactful changes to Home recommendation systems to achieve this goal. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers across PZN in prototyping and productizing state-of-the-art ML at the intersection of recommendations and long-term user satisfaction.

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About Spotify

Spotify

Spotify

Public

Spotify is a Swedish audio streaming and media service provider founded in April 2006 by Daniel Ek and Martin Lorentzon. As of December 2025, it was one of the largest providers of music streaming services, with over 751 million monthly active users comprising 290 million paying subscribers.

5,001-10,000

Employees

Stockholm

Headquarters

Reviews

4.0

25 reviews

Work Life Balance

4.2

Compensation

3.8

Culture

4.0

Career

3.9

Management

3.7

72%

Recommend to a Friend

Pros

Great company culture and amazing people

Supportive management and professional growth opportunities

Creative and innovative work environment

Cons

Job insecurity and recent layoffs

Management inconsistency and lack of transparency

Limited internal career mobility

Salary Ranges

3 data points

Junior/L3

Senior/L5

Staff/L6

Junior/L3 · Associate Data Scientist

0 reports

$142,458

total / year

Base

-

Stock

-

Bonus

-

$121,089

$163,827

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

40%

Experience

Positive 40%

Neutral 60%

Negative 0%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Online Coding Round

5

Onsite/Virtual Interviews

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Culture Fit