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职位Spotify

Senior Backend Engineer - Personalization

Spotify

Senior Backend Engineer - Personalization

Spotify

New York, NY

·

On-site

·

Full-time

·

1d 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.

You'll join a team working at the intersection of backend engineering, music understanding, and user experience.

We focus on building the backend systems that power agentic music fulfilment products from conversational playlist generation to adaptive listening experiences that give users more intuitive control over what they listen to.

This team collaborates closely with product, design, user research, data science, and machine learning to build personalized, high-impact features used by hundreds of millions of listeners worldwide.

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关于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

员工数

Stockholm

总部位置

$23B

企业估值

评价

4.1

10条评价

工作生活平衡

3.8

薪酬

4.2

企业文化

4.5

职业发展

4.0

管理层

2.8

75%

推荐给朋友

优点

Flexible working hours and remote options

Great team culture and supportive colleagues

Creative freedom and innovative projects

缺点

High workload and stress during peak times

Fast-paced environment can be overwhelming

Management disorganization and direction issues

薪资范围

18个数据点

Junior/L3

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Associate Data Scientist

0份报告

$142,458

年薪总额

基本工资

-

股票

-

奖金

-

$121,089

$163,827

面试经验

3次面试

难度

3.0

/ 5

时长

14-28周

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit