채용
About the job
YouTube Shorts is not just a product; it is a global engine for expression. The Creator Growth team is the vital heart of this ecosystem, responsible for inspiring over a billion viewers.
As the Principal Engineer you will grow content creation and build a sustainable ecosystem where millions of creators—from the newcomer to the established professional—find their audience and their voice. You will be responsible for the technical strategy that ensures a healthy supply of high-value content. You will solve large-scale machine learning challenges that define the next era of discovery for creation growth.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.
The US base salary range for this full-time position is $307,000-$427,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
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Grow the creator ecosystem by inspiring viewers to create.
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Model the sparse and complex Consumption to Creation (C2C) journeys to understand what truly inspires Shorts viewers to create. Build attribution systems that track inspiration sources over multiple touch points.
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Build cold-start solutions to match creators with their audiences. Lead the shift from views-only rewards to sophisticated deeper engagement and creator recognition value models.
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Leverage LLMs, multi-modality modeling, and large embedding models to build specialized recommender systems that understand content at a granular level. Partner with Gemini and Research teams to integrate state-of-the-art tools that lower the barrier to entry for billions of potential creators.
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Partner with CoreX, Music, Community, and Infrastructure teams, ensuring the creator growth vision is integrated across the YouTube stack.
Minimum qualifications
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Bachelor's degree in Engineering, Computer Science, or equivalent practical experience.
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15 years of experience in engineering.
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Experience with cross-functional technical innovation.
Preferred qualifications
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7 years of experience in a technical leadership role responsible for multiple technical areas and setting technical direction.
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Ability to manage multiple complex assignments simultaneously and work with geographically dispersed, cross-functional teams.
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Deep expertise in large-scale recommendation systems (retrieval/ranking), Generative AI for content understanding, and machine learning infrastructure.
총 조회수
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총 지원 클릭 수
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모의 지원자 수
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스크랩
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Google 소개

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
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