{"id":3841109,"url":"https://alion.io/job/google-software-engineer-iii-aiml-genai","title":"Software Engineer III, AI/ML GenAI","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":134,"ghost_share":0.045,"stale_share":0.739,"repost_share":0.045,"time_to_fill_p50_days":30,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Gemini","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"PyTorch","optional":true}],"status":"closed","first_seen_at":"2026-11-05T14:07:04Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-06T12:20:23Z","board_verified":false,"closed_at":"2026-11-06T12:20:23Z","days_open":0,"trust":{"level":"not_scored","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.\nGoogle Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.\nOur teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nBuild large-scale multimodal models of human attention and behavior using novel interaction signals, machine learning (ML), data analysis, natural language processing (NLP), and computer vision.\nDevelop and evaluate ML models on large-scale user logs to predict behavior, and build the infrastructure for model training and serving.\nRun statistical analysis to find insights and publish research papers that contribute to ML, NLP, and computer vision.\nShare results with the partner Product Area (PAs) to drive design and launch decisions. Work closely with them to fold models into products like Gemini and Search and make quality measurably better.\nLead research projects independently, adapt to new information, and communicate findings within a collaborative team.\nQualifications\nMinimum qualifications:\nBachelor’s degree or equivalent practical experience.\n2 years of experience programming in Python or C++.\n1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.\n1 year of experience with end-to-end Machine Learning infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).\nPreferred qualifications:\nPhD in computer science or related field.\nExperience working across PAs, in particular with Research, DeepMind and Search\nExperience with Google infrastructure such as Flume and 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