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Staff Machine Learning Engineer, Home Podcast

Spotify

Staff Machine Learning Engineer, Home Podcast

Spotify

New York, NY

·

On-site

·

Full-time

·

3d 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 Staff MLE to join Surfaces Podcasts. The Surfaces Podcasts team builds the systems that power podcast recommendations across some of Spotify’s most visible experiences, including Home and the Now Playing view. We work across candidate generation, ranking, and embedding models to help listeners discover their favorite new podcast and engage deeply with their favorite shows.

We’re also shaping the next generation of personalization through transformer-based models that bring more dynamic, context-aware recommendations to millions of listeners. You’ll collaborate closely with teams across Personalization, Experience, and the Podcast Mission to evolve podcast listening across Spotify.

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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

$23B

Valuation

Reviews

4.1

10 reviews

Work-life balance

3.8

Compensation

4.2

Culture

4.3

Career

3.9

Management

2.8

78%

Recommend to a friend

Pros

Flexible working hours and remote options

Great team culture and collaborative environment

Innovative projects and creative freedom

Cons

High workload and performance pressure

Fast-paced environment can be overwhelming

Management issues and disorganization

Salary Ranges

17 data points

Junior/L3

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Associate Data Scientist

0 reports

$142,458

total per year

Base

-

Stock

-

Bonus

-

$121,089

$163,827

Interview experience

3 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit