Google Inc.
Staff Software Engineer, Backend systems, Applied AI/ML
Google Inc., Mountain View, California, us, 94039
Overview
Staff Software Engineer, Backend systems, Applied AI/ML — Google, Mountain View, CA, USA Qualifications
Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products. 3 years of experience with software design and architecture. Experience in the Java programming language. Preferred qualifications
Experience in solving real-world problems by applying Machine Learning (ML) or generative Artificial Intelligence (AI) in production applications. Experience caring about users and the product experience while partnering with the product team to drive product direction. Ability to own, set, and drive Objectives and Key Results (OKRs) for multiple projects. Passionate about data and making data-driven decisions. 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. Responsibilities
Influence and coach a distributed team of engineers. Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Design, develop, test, deploy, maintain, and enhance large-scale software solutions. Benchmark advertiser’s brand awareness using search ads data and build insights and recommendations in collaboration with YouTube Ads. Work on projects such as brand reconciliation. Transform the search benchmarking landscape by combining audience-based data with business specific dimensions. Help unlock insights that utilize both datasets such as multi-language creative improvement. Benefits and equal opportunity
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. 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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Staff Software Engineer, Backend systems, Applied AI/ML — Google, Mountain View, CA, USA Qualifications
Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products. 3 years of experience with software design and architecture. Experience in the Java programming language. Preferred qualifications
Experience in solving real-world problems by applying Machine Learning (ML) or generative Artificial Intelligence (AI) in production applications. Experience caring about users and the product experience while partnering with the product team to drive product direction. Ability to own, set, and drive Objectives and Key Results (OKRs) for multiple projects. Passionate about data and making data-driven decisions. 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. Responsibilities
Influence and coach a distributed team of engineers. Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Design, develop, test, deploy, maintain, and enhance large-scale software solutions. Benchmark advertiser’s brand awareness using search ads data and build insights and recommendations in collaboration with YouTube Ads. Work on projects such as brand reconciliation. Transform the search benchmarking landscape by combining audience-based data with business specific dimensions. Help unlock insights that utilize both datasets such as multi-language creative improvement. Benefits and equal opportunity
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. 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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