refresh

트렌딩 기업

트렌딩 기업

채용

채용Google

Engineering Manager, ML Infrastructure

Google

Engineering Manager, ML Infrastructure

Google

·

On-site

·

Full-time

·

1w ago

  • Lead our new Workload Optimization (WO) team. Set the technical goal and roadmap and drive its key features in this pivotal role.

  • Collaborate closely with teams across machine learning (ML), and our product area customers to ensure successful execution.

  • Shape the team's culture and processes, identify new opportunities, and translate our broader strategy into concrete priorities and projects.

  • Coach and provide career guidance to your reports, improve our engineering practices, and influence technical direction across the organization.

  • Navigate open-endedness and actively contribute to the team's engineering efforts as a technical leader.

  • Bachelor’s degree, or equivalent practical experience.

  • 8 years of experience in software development.

  • 3 years of experience with developing infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

  • 3 years of experience in a technical leadership role.

  • 2 years of experience in a people management or team leadership role.

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

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

3.7

25개 리뷰

워라밸

3.8

보상

4.2

문화

3.4

커리어

3.9

경영진

2.8

68%

친구에게 추천

장점

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

단점

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

연봉 정보

57,502개 데이터

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0개 리포트

$176,704

총 연봉

기본급

-

주식

-

보너스

-

$150,298

$203,110

면접 경험

9개 면접

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