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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 identityexpression 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 Googles EEO Policy Know your rights workplace discrimination is illegal Belonging at Google and How we hire.More about usexpand_moreRelated informationexpand_moreEqual opportunityexpand_morePrivacyopen_in_newApplicant & Candidate Privacyopen_in_newTermsopen_in_newManage cookieshelpHelpopen_in_newarrow_backBack to jobs searchSoftware Engineer Discover Ads Retrievalshare linkCopy linkemailEmail a friendcorporate_fareGoogleplaceMountain View CA USAbar_chartAdvancedAdvancedExperience owning outcomes and decision making solving ambiguous problems and influencing stakeholdersdeep expertise in domain.Applyshare linkCopy linkemailEmail a friendMinimum qualificationsBachelors degree or equivalent practical experience.8 years of experience with one or more general purpose programming languages including but not limited to Java CC or Python.8 years of experience in software development.5 years of experience building and deploying recommendation systems models retrieval prediction ranking embedding in production and experience building architecture in different modeling domains.5 years of experience with ML design and ML infrastructure e.g. model deployment model evaluation data processing debugging fine tuning.5 years of experience testing and launching software products and 3 years of experience with software design and architecture.Preferred qualifications8 years of experience with data structures and algorithms.6 years of experience with ML or quality working on recommendation systems.Experience in recommender systems clustering algorithms SQL and deep model.Experience in C DremelF1 and TensorFlow.Research experience.Ability to drive quality projects end-to-end from design to implementation to eventual launch.About the jobThe Discover Ads Retrieval team is looking for a Tech Lead to advocate the retrieval strategy that connects billions of users with the most relevant ads in their Discover Feed.Discover Feed has ~2B monthly active users and is a primary driver of Googles Social Ads effort. Unlike traditional Search Discover is a proactive recommendation-driven surface. This creates a unique modeling challenge how do we retrieve high-quality relevant ads that provide real value to a user before they even ask for themThe Retrieval team is responsible for the Top of the Funnel. We innovate on the ML models and applicant generation strategies that filter millions of potential ads down to a high-quality subset. Our work directly determines the upper bound of the entire ads systems performance impacting every Discover user globally.Google Ads is helping power the open internet with the best technology that connects and creates value for people publishers advertisers and Google. Were made up of multiple teams building Googles Advertising products including search display shopping travel and video advertising as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses to large brands to YouTube creators with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.The US base salary range for this full-time position is 207000-300000 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.ResponsibilitiesBe the primary technical authority for our retrieval stack and move beyond incremental tuning to drive step-functions in ad relevance and quality by leading a team of ML engineers to explore the frontiers of embedding-based retrieval deep learning architectures and multi-objective optimization.Define roadmap for retrieval quality. This includes moving from legacy retrieval methods e.g. two-tower models transformer-based embeddings and generative retrieval. Build close partnership with many relevant modeling teams.Innovate on how we measure and improve relevance. Lead efforts to align retrieval outputs with long-term user satisfaction and advertiser Return on Investment ROI ensuring we arent just retrieving clicks but value.Design next-generation applicant generation strategies.Oversee the integration of fresh signals user intent content semantics and social trends into our retrieval models to capture the dynamic nature of the Discover Feed.Information collected and processed as part of your Google Careers profile and any job applications you choose to submit is subject to Googles 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 identityexpression 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 Googles 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.Follow Life at Google on More about usAbout usopen_in_newContact usopen_in_newPressopen_in_newRelated InformationInvestor relationsopen_in_newBlogopen_in_newEqual OpportunityGoogle 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 identityexpression 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 Googles EEO Policy Know your rights workplace discrimination is illegal Belonging at Google and How we hire.More about usexpand_moreRelated informationexpand_moreEqual opportunityexpand_morePrivacyopen_in_newApplicant & Candidate Privacyopen_in_newTermsopen_in_newManage cookieshelpHelpopen_in_newFollow Life at Google on More about usAbout usopen_in_newContact usopen_in_newPressopen_in_newRelated InformationInvestor relationsopen_in_newBlogopen_in_newEqual OpportunityGoogle 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 identityexpression 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 Googles EEO Policy Know your rights workplace discrimination is illegal Belonging at Google and How we hire.More about usexpand_moreRelated informationexpand_moreEqual opportunityexpand_morePrivacyopen_in_newApplicant & Candidate Privacyopen_in_newTermsopen_in_newManage cookieshelpHelpopen_in_newGoogle appsMain menu