{"id":3396458,"url":"https://alion.io/job/google-senior-staff-software-engineer-generative-ai-platform-quality-google-workspace","title":"Senior Staff Software Engineer, Generative AI, Platform Quality, Google Workspace","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":80,"open_postings":149,"ghost_share":0.047,"stale_share":0.644,"repost_share":0.047,"time_to_fill_p50_days":30,"computed_at":"2026-11-01T06:10:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":192000,"max_usd":382000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":890},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Gmail","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false}],"status":"live","first_seen_at":"2026-10-28T09:11:27Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-01T20:22:49Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About the job\nGoogle'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.\nWith your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.\nThe Workspace AI platform team is looking for experienced Senior ICs to help bring advanced GenAI capabilities to all of Workspace's products, and to deliver the experience for content creation, consumption, and collaboration.\nAI will change the future of work in profound ways, and our products- Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nProvide technical leadership on projects.\nInfluence and coach a distributed team of engineers.\nFacilitate alignment and clarity across teams on goals, outcomes, and timelines.\nManage project priorities, deadlines, and deliverables.\nIntegrate model capabilities into Workspace products and drive horizontal improvements for launched features.\nQualifications\nMinimum qualifications:\nBachelor's degree or equivalent practical experience.\n8 years of experience in software development.\n7 years of experience leading technical project strategy, ML design, and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).\n5 years of experience with design and architecture; 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