{"id":2944693,"url":"https://alion.io/job/google-software-engineer-applied-ai-model-quality","title":"Software Engineer, Applied AI, Model Quality","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":76,"open_postings":43,"ghost_share":0,"stale_share":0.93,"repost_share":0.023,"time_to_fill_p50_days":30,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Backend","role_family":"Backend","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":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":149000,"max_usd":275000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":3441},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Gemini","optional":false},{"name":"Google Workspace","optional":false},{"name":"LLM","optional":false},{"name":"Fine-tuning","optional":true},{"name":"Reinforcement Learning","optional":true}],"status":"live","first_seen_at":"2026-10-20T15:39:16Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-21T11:47:09Z","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.\nAs a part of Google Pics, an AI-powered visual editor integrated across Google Workspace to bring Generative AI photo and design capabilities directly onto the canvas. In this role, you will work with the image-understanding capabilities of GemPix and Gemini to empower users to edit, transform, and generate images across all Workspace surfaces. You will be executing against a product roadmap, building on limited testing and consumer experiments. You will join a team that requires executing against a roadmap of model capabilities.\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 both human-powered and Large Language Model (LLM)-powered automated evaluation systems to assess model performance.\nEstablish clear metrics to measure aspects like grounding, coherence, safety, and helpfulness.\nUtilize platforms and tools to efficiently run evaluations across different models and datasets.\nProvide actionable insights from evaluations to improve model quality, often in collaboration with research, and cross-functional teams.\nCreate tools and systems that make the evaluation process more efficient and effective.\nQualifications\nMinimum qualifications:\nBachelor’s degree or equivalent practical experience.\n5 years of experience with 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