{"id":4082221,"url":"https://alion.io/job/google-staff-software-engineer-aiml-generative-ai-ads-safety","title":"Staff Software Engineer, AI/ML, Generative AI, Ads Safety","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":78,"open_postings":131,"ghost_share":0.038,"stale_share":0.756,"repost_share":0.038,"time_to_fill_p50_days":30,"computed_at":"2026-11-11T05:49:22Z"}},"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":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Embeddings","optional":false},{"name":"Gemini","optional":false},{"name":"In-Context Learning","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Distillation","optional":false},{"name":"Multimodal AI","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-11-11T13:38:29Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T17:46:40Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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.\nGoogle Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.\nOur work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.\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\nDesign and roll out the next-generation multimodal and encoder architecture across workhorse models, integrating frame-level video embeddings in partnership with Google DeepMind.\nLead the evolution of Content Safety’s teacher stack by migrating to next-generation Gemini models and establishing In-Context Learning Video.\nLead the design of Policy enforcement RAG (PeRAG), a low-latency, high-precision retrieval system backed by a unified Long-Term Memory service.\nLead the design of a greenfield Model Debug and Gap Mitigation Agent to automatically diagnose teacher-student distillation gaps.\nProvide technical leadership on high-impact projects.\nQualifications\nMinimum qualifications:\nBachelor’s degree or equivalent practical experience.\n8 years of experience in software development.\n5 years of experience leading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).\n2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).\nExperience designing and operating distributed computing systems for large-scale AI/ML workloads.\nExperience with Large Language Models (LLMs), Natural Language Processing, or Generative AI.\nPreferred qualifications:\nMaster's degree or PhD in Computer Science, a related field, or equivalent practical experience.\n8 years of experience with data structures and algorithms.\n3 years of experience in a technical leadership role leading project teams and setting technical direction.\n3 years of 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