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Machine Learning Engineer II - P2P - Personalization

Spotify

Machine Learning Engineer II - P2P - Personalization

Spotify

New York, NY

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Healthcare

401(k)

Equity

Remote Work

Learning Budget

Healthcare

401k

Equity

Remote Work

Learning

Required Skills

Machine Learning

Python

Software Engineering

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.

Prompted Playlists (P2P) let listeners describe exactly what they want to hear and set the rules for their personalized playlist experience. This feature taps into a listener’s entire Spotify history—stretching back to day one—to reflect not just what they love now, but the full arc of their taste. The team blends personalization, world knowledge, and adaptive curation to deliver playlists that stay fresh, relevant, and delightful. P2P is looking for an experienced ML engineer to join the team!

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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