The Senior Software Engineer role at Google focuses on developing advanced machine learning models for Map Ads. The position involves leading technical roadmaps and collaborating with cross-organizational teams to enhance ad quality and user experience. Engineers in this role will utilize techniques such as Large Language Model-based distillation and differential modeling to optimize relevance in queryless ad formats. This is an opportunity to drive significant improvements in local discovery at scale using cutting-edge AI technologies.

• Bachelor's degree or equivalent practical experience.
• 5 years of experience programming in C++ and SQL.
• 3 years of experience with reinforcement learning, recommendations/ranking, LLMs, or ML infrastructure.
• 3 years of experience with ML infrastructure including model deployment and evaluation.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

• Triage product or system issues and debug by analyzing the sources of issues and their impact.
• Move to high-performance ML models utilizing factorization for sub-millisecond relevance optimization.
• Build a new pRelevance model that incorporates deep personalization signals through non-traditional techniques.
• Leverage LLM-based distillation to teach models what is relevant in scenarios where manual dataset creation is unfeasible.
• Develop evaluation frameworks where LLMs simulate user personas to predict true ad quality.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.