{"id":4082234,"url":"https://alion.io/job/google-staff-software-engineer-aiml-ml-infrastructure-search-ads-3","title":"Staff Software Engineer, AI/ML, ML Infrastructure, Search Ads","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":"Gemini","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false}],"status":"live","first_seen_at":"2026-11-11T12:43:09Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-12T05:10:55Z","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\nResearch emerging technology and make trade-off decisions between immediate wins and long-term stability.\nModify training and serving infrastructure to support new modeling techniques and products.\nCollaborate closely with team members and partners to build systems that integrate seamlessly across the ecosystem.\nImprove robustness, reliability, and usability of machine learning infrastructure.\nEngage with modeling teams to explore pain points and identify novel use cases.\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 state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).\nExperience building and architecting ML systems and infrastructure (e.g., for model training, evaluation, deployment, serving).\nExperience designing and operating distributed computing systems for large-scale AI/ML workloads.\nPreferred qualifications:\nMaster’s degree or PhD in Engineering, Computer Science, or a related technical field.\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 experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.\nExperience in 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