Job Information
Google Senior Staff Software Engineer, Feed Recommendation, Search in Mountain View, California
Senior Staff Software Engineer, Feed Recommendation, Search
corporatefare_ Google place Mountain View, CA, USA
Advanced
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Minimum qualifications:
Bachelor’s degree or equivalent practical experience.
8 years of experience with software development in one or more programming languages.
7 years of experience testing, maintaining or launching software products, and 1 year of experience with software design and architecture.
7 years of experience with AI/ML algorithms and tools, deep learning and AI/ML modeling.
Experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.
Preferred qualifications:
Master degree or PhD in Computer Science or a related field.
8 years of experience with data structures and algorithms and large language model applications.
5 years of experience in a technical leadership role leading project teams and setting technical direction.
5 years of experience working in a complex organization involving cross-functional, or cross-business projects.
Experience developing algorithms (ranking, recommendations, prediction, search quality, personalization) and software that generates suggestions based on various input and output targets.
Experience in successfully applying machine learning approaches to real-world content problems, and excellent programming skills in Python.
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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
We connect users with the world's most relevant and engaging content and own the end-to-end experience for Google's feed products, from building a deep understanding of the content corpus to developing the retrieval, ranking, and personalization models that power what users see every day.
In this role, you'll identify technical challenges in our feed retrieval, ranking and personalization work streams, and drive end-to-end solutions. You will develop and deploy models, including large language models and multi-modal systems, to analyze and recommend content. Your focus will be on building a recommendation system by extracting rich signals, understanding nuanced topics, and ensuring ML system scalability.
In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
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 aboutbenefits at Google (https://careers.google.com/benefits/) .
Responsibilities
Drive research and development for our core content understanding models, which form the foundation of our feed recommendation systems, working on the foundation of Google's recommendation systems. You will solve the immense challenges of end-to-end Discover feed recommendations across ranking, retrieval and personalization.
Develop and deploy models, including Large Language Models (LLMs) and multi-modal systems, to analyze, classify, and enrich content at a massive scale.
Conduct applied research on novel modeling techniques to solve concrete challenges in content understanding, such as identifying nuanced topics, assessing content quality, and understanding user generated content.
Advance the in key content domains, such as: extracting structured information (e.g., suitable for vegetarians or meat lovers) from unstructured text; and using signals from text, images, and video for multi-modal understanding (e.g., extract useful signals from mixed-format story clusters).
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.