Software Engineer III, AI/ML, Keywordless Search Ads

Experteer Overview As a software engineer in Google Ads’ AI-powered automation team, you will develop and deploy ML/LLM models that directly impact advertisers and users at scale. You’ll tackle open-ended problems in ad relevance, query understanding, and large-scale system optimization, contributing to model optimization and data processing. You’ll work across ML infrastructure and end-to-end ML workflows to deliver automated targeting improvements. This role blends research and practical deployment in a fast-paced environment with meaningful, global impact. Compensation / Benefits * Develop and deploy ML/LLM models that directly impact Google Ads and users * Tackle open-ended engineering problems in ad relevance and query understanding * Triages and resolves product/system issues by analyzing impacts on hardware, network, and service operations * Implement solutions across ML areas and contribute to model optimization and data processing * Utilize ML infrastructure to support end-to-end ML workflows and deployment * Contribute to system design and optimization for large-scale AI-powered advertising products Tasks * Bachelor’s degree or equivalent practical experience * 2 years of Python or C++ programming experience * 1 year of experience with generative AI, reinforcement learning, large language models, model processing, or related ML field * 1 year of experience with end-to-end ML (model deployment, evaluation, data processing, debugging) Key requirements * bonus target * equity * benefits

Experteer Overview As a software engineer in Google Ads’ AI-powered automation team, you will develop and deploy ML/LLM models that directly impact advertisers and users at scale. You’ll tackle open-ended problems in ad relevance, query understanding, and large-scale system optimization, contributing to model optimization and data processing. You’ll work across ML infrastructure and end-to-end ML workflows to deliver automated targeting improvements. This role blends research and practical deployment in a fast-paced environment with meaningful, global impact. Compensation / Benefits * Develop and deploy ML/LLM models that directly impact Google Ads and users * Tackle open-ended engineering problems in ad relevance and query understanding * Triages and resolves product/system issues by analyzing impacts on hardware, network, and service operations * Implement solutions across ML areas and contribute to model optimization and data processing * Utilize ML infrastructure to support aaaaa field ML workflows and deployment * Contribute to system design and optimization for large-scale AI-powered advertising products Tasks * Bachelor’s degree or equivalent practical experience * 2 years of Python or C++ programming experience * 1 year of experience with generative AI, reinforcement learning, large language models, model processing, or related ML field * 1 year of experience with end-to-end ML (model deployment, evaluation, data processing, debugging) Key requirements * bonus target * equity * benefits