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지금 많이 보는 기업

지금 많이 보는 기업

Google
Google

Organizing the world's information and making it universally accessible.

Machine Learning Engineer, YouTube Live Discovery

직무머신러닝
경력미들급
근무오피스 출근
고용정규직
게시3주 전
지원하기
  • Work on improving ML algorithms and end-to-end solutions to empower live recommendations and to grow live ecosystems responsibly.

  • Set up growth metrics and goals, do the analysis and research to identify the growth areas and lead a team of engineers to iterate multiple experiments.

  • Communicate across multiple YouTube engineering teams and lead to align with the design direction and future plan of your projects.

  • Work closely with the YouTube discovery teams (Home/Watch Next/Notifications/Living Room/etc), Live infra and experience teams, collaborate closely with Google Deepmind teams, YouTube knowledge and YouTube (TnS) Trust and Safety.

  • Bachelor's degree or equivalent practical experience.

  • 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).

  • 3 years of experience in a technical leadership role.

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Google 소개

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

직원 수

Mountain View

본사 위치

$1,700B

기업 가치

리뷰

10개 리뷰

4.5

10개 리뷰

워라밸

3.2

보상

4.3

문화

4.1

커리어

4.2

경영진

3.8

82%

지인 추천률

장점

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

단점

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

연봉 정보

57,503개 데이터

Junior/L3

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

L3

L4

L5

Junior/L3 · Data Scientist L3

0개 리포트

$176,704

총 연봉

기본급

-

주식

-

보너스

-

$150,298

$203,110

면접 후기

후기 9개

난이도

3.4

/ 5

소요 기간

14-28주

합격률

44%

경험

긍정 0%

보통 56%

부정 44%

면접 과정

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense