{"id":3866383,"url":"https://alion.io/job/google-senior-software-engineer-aiml-home-context-and-foundation-models","title":"Senior Software Engineer, AI/ML, Home Context and Foundation Models","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":132,"ghost_share":0.045,"stale_share":0.75,"repost_share":0.045,"time_to_fill_p50_days":30,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Gemini","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Reinforcement Learning","optional":false}],"status":"live","first_seen_at":"2026-11-06T12:14:28Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-11T03:09:11Z","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.\nThe Home Intelligence team is responsible for the smarts behind the Smart Home -- everything from Voice Assistant-enabled speakers and displays to Cameras, Thermostats, and ambient sensors. Gemini is transforming how your entire home can come alive with intelligent capabilities that bring together the best of Google Home to help in the moment and take care of you and your family.\nThe Google Home team focuses on hardware, software and services offerings for the home, ranging from thermostats to smart displays. The Home team\nresearches, designs, and develops new technologies and hardware to make\nusers’ homes more helpful. Our mission is the helpful home: to create a\nhome that cares for the people inside it and the world around it.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nBuild scalable offline and online multi-modal data and serving pipelines integrating camera/video intelligence, HomeGraph device state, and telemetry to supply high-value signals to Home Context and HFM.\nDesign, develop, and productionize Home Context capabilities (such as Home Pulse, household routine modeling, and anomaly detection) and integrate them with flagship Google Home features including Visual Home Brief and Camera Captions.\nPartner closely with Research and Infrastructure teams to co-develop, evaluate, and productionize the Home Foundation Model (HFM) for real-world Smart Home applications.\nIntegrate contextual understanding with Identity and Presence signals so downstream Home experiences understand the user.\nCollaborate with Product, Research, and Vertical engineering teams to define target use cases, build evaluation benchmarks, and drive model and system quality improvements from prototype to launch.\nQualifications\nMinimum qualifications:\nBachelor’s degree or equivalent practical experience.\n5 years of experience with software development in one or more programming languages.\n3 years of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).\n3 years 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.\nExperience designing and operating distributed computing systems for large-scale AI/ML workloads.\nPreferred qualifications:\nMaster's 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