Senior Engineering Lead, Foundational Modeling

Job description

Lead development of an Ads specific Gemini foundation model by post-training on multiple Ads tasks using RL and SFT (e.g., user and ad intent classification, cross-surface commercial understanding, etc). Architect and build a standardized framework to enable scaling of many tasks, standardized evals, experimentation, and overall velocity. Drive key deliverables and iterations toward major milestones (e.g., model training, benchmarks, product experimentation, launches). Collaborate closely with cross-functional partners across Retrieval, Targeting, Relevance (and other aspects of the Ads Prediction Stack), as well as UX. Drive high code and engineering hygiene, at Google-scale latency, privacy, and safety standards. Minimum Qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience programming in Python or C++. 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 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. 5 years of experience with design and architecture; and testing/launching software products. Preferred Qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. 5 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in an organization involving cross-functional, or cross-business projects. Demonstrated experience in software engineering at L7+ level, building complex distributed systems, ML pipelines, or user-facing product frameworks. Deep familiarity with Search/Ads infrastructure, auction mechanics, or generative AI models.