{"id":3016394,"url":"https://alion.io/job/google-senior-software-ml-engineer-aiml-genai-gemini-enterprise-2","title":"Senior Software ML Engineer, AI/ML GenAI, Gemini Enterprise","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":79,"open_postings":141,"ghost_share":0.05,"stale_share":0.674,"repost_share":0.05,"time_to_fill_p50_days":30,"computed_at":"2026-11-04T06:34:25Z"}},"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":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":166000,"max_usd":320000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1332},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Computer Vision","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Machine Learning","optional":false},{"name":"Post-training","optional":false},{"name":"RAG","optional":false},{"name":"C++","optional":true},{"name":"LLM","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-21T15:42:01Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-11-04T20:34:52Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"About the job\nGoogle Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.\nAs a Senior Software/Machine Learning (ML) Engineer in the Gemini Enterprise team, you will be at the heart of the generative Artificial Intelligence (AI) revolution. You won't just be testing models; you will be engineering the systems that define the intelligence, reliability, and helpfulness of Gemini Enterprise for millions of enterprise users. You will architect automated evaluation frameworks, design optimization algorithms, and solve technical issues at the intersection of Large Language Models (LLMs) and enterprise-grade software.\nGoogle Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.\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\nLead the technical development of agentic features to transform enterprise productivity.\nCollaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).\nContribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.\nTriage product or system issues and debug, track, and resolve them by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.\nDesign and implement Generative Artificial Intelligence (GenAI) solutions, leverage Machine Learning (ML) infrastructure, and evaluate tradeoffs between different techniques and their application domains.\nQualifications\nMinimum qualifications:\nBachelor’s degree in Computer Science, a related field, or equivalent practical experience.\n5 years of experience in software development with one or more programming languages.\n2 years of experience with core Generative Artificial Intelligence (GenAI) technologies (e.g., Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agents) or model training/post-training.\n 1 year of experience with GenAI concepts such as language modeling or computer vision.\nPreferred qualifications:\nMaster’s degree or PhD in Computer Science or a related technical field.\nExperience in machine learning modeling and tech leadership roles.\nProficiency in Python, C++.\nExperience building production-grade LLM-based applications and 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