{"schemaVersion":"jobsearcher.job.v1","id":"1e8bb1fb24784eddfadac44d","url":"https://jobsearcher.com/jobs/1e8bb1fb24784eddfadac44d","canonicalUrl":"https://jobsearcher.com/jobs/1e8bb1fb24784eddfadac44d","title":"Staff Software Engineer, Android Agent","description":"Overview\nIn this role you design and optimize end-to-end ML systems powering Android’s next-generation AI agent. You translate user goals into robust ML solutions and build scalable data pipelines for training and fine-tuning while prioritizing on-device performance and user privacy. You own evaluation frameworks to ensure reliable, personalized AI features and lead ongoing model development and improvement. This role combines technical leadership with hands-on ML work in a fast, cross-functional environment.\n\nCompensation / Benefitsbonus targetequitybenefits\nResponsibilitiesDesign and build end-to-end ML systems powering Android AI featuresTranslate product goals into well-defined ML problems and innovative solutionsArchitect robust data pipelines for large-scale data collection, cleaning and processingLead development, training and continuous improvement of core ML models with focus on on-device performance and privacyEstablish and own evaluation frameworks to measure model quality and reliabilityCollaborate with cross-functional partners to align ML work with product and security requirements\nKey requirementsBachelor’s degree or equivalent practical experience8+ years in software development5+ years in one or more: Speech/audio, reinforcement learning, ML infrastructure, or related ML field5+ years in ML design and ML infrastructure (deployment, evaluation, data processing, debugging, fine-tuning)5+ years testing and launching software products3+ years in software design and architectureExperience integrating generative AI tools or LLM interfaces into workflowsLeadership and ownershipCross-functional collaborationProblem-solving and communicationSpeech/audio processingReinforcement learningML infrastructure (deployment, evaluation, data processing, debugging, fine-tuning)","company":"Google","rawCompany":"google","city":"San Jose","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-15T03:37:03.880Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff Software Engineer, Android Agent","description":"Overview\nIn this role you design and optimize end-to-end ML systems powering Android’s next-generation AI agent. You translate user goals into robust ML solutions and build scalable data pipelines for training and fine-tuning while prioritizing on-device performance and user privacy. You own evaluation frameworks to ensure reliable, personalized AI features and lead ongoing model development and improvement. This role combines technical leadership with hands-on ML work in a fast, cross-functional environment.\n\nCompensation / Benefitsbonus targetequitybenefits\nResponsibilitiesDesign and build end-to-end ML systems powering Android AI featuresTranslate product goals into well-defined ML problems and innovative solutionsArchitect robust data pipelines for large-scale data collection, cleaning and processingLead development, training and continuous improvement of core ML models with focus on on-device performance and privacyEstablish and own evaluation frameworks to measure model quality and reliabilityCollaborate with cross-functional partners to align ML work with product and security requirements\nKey requirementsBachelor’s degree or equivalent practical experience8+ years in software development5+ years in one or more: Speech/audio, reinforcement learning, ML infrastructure, or related ML field5+ years in ML design and ML infrastructure (deployment, evaluation, data processing, debugging, fine-tuning)5+ years testing and launching software products3+ years in software design and architectureExperience integrating generative AI tools or LLM interfaces into workflowsLeadership and ownershipCross-functional collaborationProblem-solving and communicationSpeech/audio processingReinforcement learningML infrastructure (deployment, evaluation, data processing, debugging, fine-tuning)","datePosted":"2026-09-15T03:37:03.880Z","dateModified":"2026-09-15T03:37:03.880Z","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1e8bb1fb24784eddfadac44d"},"url":"https://jobsearcher.com/jobs/1e8bb1fb24784eddfadac44d"}}