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职位Spotify

2026 Summer Internship, Machine Learning Engineering - PhD (New York City)

Spotify

2026 Summer Internship, Machine Learning Engineering - PhD (New York City)

Spotify

New York, NY

·

On-site

·

Full-time

·

2mo ago

福利待遇

Remote work flexibility

Wellness benefits

Top Tier compensation with equity

Health, dental, and vision coverage

必备技能

Python

SQL

TensorFlow

Spotify is looking for enthusiastic students with a passion for music and an ambition to go far. This isn't just any internship! Our paid internship program will give you the chance to gain in-depth knowledge of what it's like to be a Spotify employee as well as get the opportunity to see the technology side of a fast growing company! Our summer internships will last for approximately 10 weeks this summer and start in mid-June.

We’re looking for Machine Learning PhD Interns who are excited about the fast-moving world of AI and eager to learn by doing. This internship is intentionally exploratory: the specific projects and scope may evolve over time based on team needs, emerging ideas, and your interests.

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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

4.0

25条评价

工作生活平衡

4.2

薪酬

3.8

企业文化

4.0

职业发展

3.9

管理层

3.7

72%

推荐给朋友

优点

Great company culture and amazing people

Supportive management and professional growth opportunities

Creative and innovative work environment

缺点

Job insecurity and recent layoffs

Management inconsistency and lack of transparency

Limited internal career mobility

薪资范围

3个数据点

Junior/L3

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

5次面试

难度

3.0

/ 5

时长

14-28周

录用率

40%

体验

正面 40%

中性 60%

负面 0%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Online Coding Round

5

Onsite/Virtual Interviews

6

Offer

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Culture Fit