{"id":2186799,"url":"https://alion.io/job/google-staff-software-engineer-ai-foundry-data-quality-and-training-data","title":"Staff Software Engineer, AI Foundry Data Quality and Training Data","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":75,"open_postings":103,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Backend","role_family":"Backend","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":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":192000,"max_usd":353000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1256},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Gemini","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Post-training","optional":false},{"name":"Pre-training","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-10-09T11:08:41Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-13T00:55:28Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"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.\nAs a leader in the AI Foundry's Data Acquisition and Data Quality (DA&DQ) organization, you will guide the Data Quality team, a group central to Google's AI strategy. Your team will define the end-to-end strategy and execution for data quality, targeting intelligence, and evaluation for the strategic datasets that power DeepMind and Search.\nYou will lead efforts to build and scale algorithmic selection pipelines, feedback loops, and dataset reliability frameworks across exabytes of data. This includes hundreds of billions of web pages, code repositories, scientific documents, and multimodal assets, with the goal of directly advancing the pre-training, post-training, and multimodal capabilities of Gemini and our future foundation models.\nThe Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nProvide technical leadership and people management for a team of Software Engineers delivering AI-ready training datasets and data quality infrastructure.\nArchitect, build, and evolve large-scale distributed data processing pipelines, signal-serving platforms, and dataset observability systems with rigorous reliability and Service Level Objective (SLO) guarantees.\nPartner closely with peer tech lead managers, Über Tech Leads (UTLs), and DeepMind researchers to drive the end-to-end roadmap for pre-training, post-training, and multimodal training data delivery\nDesign and scale web-scale algorithms and optimization frameworks including crawl targeting, document selection, deduplication, spam/low-value filtering guardrails, and objective functions operating across hundreds of billions of documents.\nEstablish rigorous data quality metrics and automated anomaly detection.\nQualifications\nMinimum qualifications:\nBachelor's degree or equivalent practical experience.\n8 years of experience designing, building, and operating large -scale distributed systems, with a focus on scalability, fault tolerance, and reliability.\n2 years of experience in a people management, supervision/team leadership role.\nExperience working with algorithms and data structures, analysis, and software design.\nExperience in software engineering principles, design patterns, and system architecture.\nPreferred qualifications:\nPhD degree in Computer Science, Machine Learning, Distributed Systems, Operations Research, or a related technical field.\n\nExperience with algorithms and mathematical or system performance 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