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Research Scientist - Personalization

Spotify

Research Scientist - Personalization

Spotify

London

·

On-site

·

Full-time

·

2mo ago

Benefits and perks

Equity

Healthcare

Flexible Hours

Required skills

JavaScript

TypeScript

Python

Spotify has more than 600M listeners in more than 180 markets around the world, who use our music, podcast, and audiobook services to find what delights, entertains, educates, and informs them. Personalization is a high impact organization that provides the technology to serve them what they expect to find, to help them explore and find new things to enjoy, and to suggest things they might not be aware of that they would like.

We are looking for a Research Scientist with a machine learning background to help us improve personalization experiences. You will join a team of researchers whose focus is on enhancing the Spotify experience by researching, developing, and integrating state-of-the-art generative AI technologies into our search and recommender systems, and unlock new interactive experiences.

You will be part of an interdisciplinary team focusing on ensuring that the foundations of Spotify technologies are at or above the state of the art and, in the process, redefine the state of the art for the field and contributing to the wider research community by publishing papers. Our team has strong ties internally to product groups as well as externally to the research community.

Areas of expertise: Information Retrieval, Recommendation System, Language Technologies, Foundational Models, Generative AI Technologies, and Machine Learning

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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