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채용Spotify

Machine Learning Engineer

Spotify

Machine Learning Engineer

Spotify

New York, NY

·

On-site

·

Full-time

·

2w ago

The Music Promotion team is building products that allow creators to promote their work to reach new audiences and create lasting connections with their fans.

We’re looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their promotion strategies, whether it’s a DIY artist or an industry-facing partner.

As an ML Engineer, you will help execute on strategies for understanding the factors that play a role in the performance of promoted tracks across the globe.

You’ll build data-driven solutions, as well as effective online and offline strategies to efficiently iterate and evaluate model approaches.

You’ll have access to a growing list of datasets, features and ML infrastructure to continually experiment and improve the model-based approach.

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Spotify 소개

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

직원 수

Stockholm

본사 위치

$23B

기업 가치

리뷰

4.1

10개 리뷰

워라밸

3.8

보상

4.2

문화

4.3

커리어

3.9

경영진

2.8

78%

친구에게 추천

장점

Flexible working hours and remote options

Great team culture and collaborative environment

Innovative projects and creative freedom

단점

High workload and performance pressure

Fast-paced environment can be overwhelming

Management issues and disorganization

연봉 정보

17개 데이터

Junior/L3

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Associate Data Scientist

0개 리포트

$142,458

총 연봉

기본급

-

주식

-

보너스

-

$121,089

$163,827

면접 경험

3개 면접

난이도

3.0

/ 5

소요 기간

14-28주

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit