{"id":3858731,"url":"https://alion.io/job/google-senior-software-engineer-discover-feed-recommendations","title":"Senior Software Engineer, Discover Feed Recommendations","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":"2026-11-08T05:47:12Z"}},"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":["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":"Gemini","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Reinforcement Learning","optional":true}],"status":"live","first_seen_at":"2026-11-06T07:39:28Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-08T13:40:13Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"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.Discover is Google’s personalized interest feed, connecting users globally with the best content from across the web in real time.\nEvery Discover feed starts with Discover User Modeling and Retrieval. Because core retrieval and ranking rely heavily on historical engagement, newly ingested documents remain corpus \"dark matter\" and expire before reaching the signal thresholds needed to show their quality. We built Discover’s end-to-end content exploration system to break this bottleneck, spanning real-time multi-tier lifecycle control and embedding-based cold-start retrieval.\nJoin Google Search AI and work at the intersection of industry leadingglobal scale. We apply breakthrough research, leveraging models like Gemini, to launch high-impact products that help billions ask any question and get things done. If you want to drive the future of AI in Search and work with world-class experts to deliver tangible, global impact and continuous innovation, this is the place.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.\nUS: $174000 - $252000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nResearch and deploy ML models that identify content by combining multimodal LLM understanding, uncertainty estimation, and causal modeling to maximize exploration ROI at scale.\nDrive projects from problem formulation and experimentation design through model training, real-time serving architecture, and production launches, collaborating closely with Feed Ranking, Content, and Infra teams.\nPartner to align semantic applicant retrieval, ranking incentives, and warm-start handoffs so promising new content seamlessly activates the organic recommendation flywheel.\nLead zero-history discovery for Discover’s top formats-making dynamically generated AI content (AIGC) a citizen across the stack and surfacing breaking news within minutes of publication.\nEvolve StarSearch into the intelligent gatekeeper for Discover’s content ecosystem-safely bootstrapping fresh, niche, and creator supply to expand personalization headroom while rapidly pruning unengaged content to keep the serving corpus fresh and efficient.\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 building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production; 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