Senior Staff Tech Lead, YouTube Shorts - Google Careers
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Senior Staff Tech Lead, YouTube Shorts
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corporate_fareYouTubeplaceMountain View, AR, USA; San Bruno, CA, USA
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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
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XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, AR, USA; San Bruno, CA, USA.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
7 years of experience leading technical project strategy, ML design, and working with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
5 years of experience with one or more of the following: speech/audio
(e.g., technology duplicating and responding to the human voice),
reinforcement learning (e.g., sequential decision making), ML
infrastructure, or specialization in another ML field.
Preferred qualifications:
Master's degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience working on Artificial Intelligence/Machine Learning (AI/ML) recommendations.
8 years of experience in the recommendations technology domain.
5 years of experience in a technical leadership role leading project teams and setting technical direction.
About the job
Google"s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We"re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will focus on engaged visits via optimizing the feed and satisfaction of users on Shorts platform. This involves defining technical strategies and designing large-scale recommendation systems that ensure every visit provides high-value content to the viewer. You will lead a team in growing YouTube Shorts ecosystem by recommending Shorts that align with users' dynamically changing interests.
The YouTube Shorts discovery models are a suite of large-scale AI/ML systems designed to model users' interests by leveraging Google-wide data sources, understanding Shorts' content and recommending the right content to the viewers. Designed for multi-task learning across various surfaces, these models are applied to numerous downstream tasks, including retrieval, user action predictions, rich user model generation, and knowledge distillation for training more compact models.
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 $262,000-$365,000 + 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
Define technical strategy for enhancing YouTube Shorts discovery models and systems to accelerate viewer and creator growth while improving user satisfaction.
Provide technical leadership on high-impact projects.
Design, develop, test, and deploy large-scale recommendation models, novel model architectures, and optimize ML infrastructure to drive the growth of the Shorts ecosystem.
Partner with Engineering, Product, Data Science, and Research teams to convert business goals into scalable technical solutions that grow the Shorts ecosystem.
Facilitate alignment and clarity across teams on goals, prioritization, outcomes, and timelines. Mentor and influence to uplevel junior engineers on the team.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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