Google
Senior Software Engineer, AI/ML, Shopping Targeting
Google, Mountain View, California, us, 94039
Senior Software Engineer, AI/ML, Shopping Targeting
Join to apply for the Senior Software Engineer, AI/ML, Shopping Targeting role at Google. Minimum qualifications
Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in C++ and Python programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). 3 years of experience with one or more of recommendation/ranking/prediction (RRP), computer vision (CV), natural language processing (NLP), deep learning/neural networks, reinforcement learning, or distributed machine learning. Preferred qualifications
Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures/algorithms. 1 year of experience in a technical leadership role. Experience or research in ads, search, or recommendation systems. Experience with AdsML, PyTorch, TFX, Jax, or Keras. About The Job
Google’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. Shopping Search Ads offers a seamless experience for users to browse, compare, and buy products directly from search results. The Shopping Targeting team owns and operates the shopping targeting stack, which determines which ad candidates participate in auction. Google Ads helps power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. The US base salary range for this full‑time position is $166,000‑$244,000 plus bonus, equity and benefits. Responsibilities
Write and test product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Develop and refine Machine Learning techniques to improve Shopping Ads targeting performance and quality, and investigate new technologies to enhance personalization for Shopping Ads. Manage the full ML model life‑cycle: training, evaluation, deployment, and identification of improvement opportunities (e.g., new architectures, data, signals, evaluation methods). Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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Join to apply for the Senior Software Engineer, AI/ML, Shopping Targeting role at Google. Minimum qualifications
Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in C++ and Python programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). 3 years of experience with one or more of recommendation/ranking/prediction (RRP), computer vision (CV), natural language processing (NLP), deep learning/neural networks, reinforcement learning, or distributed machine learning. Preferred qualifications
Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures/algorithms. 1 year of experience in a technical leadership role. Experience or research in ads, search, or recommendation systems. Experience with AdsML, PyTorch, TFX, Jax, or Keras. About The Job
Google’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. Shopping Search Ads offers a seamless experience for users to browse, compare, and buy products directly from search results. The Shopping Targeting team owns and operates the shopping targeting stack, which determines which ad candidates participate in auction. Google Ads helps power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. The US base salary range for this full‑time position is $166,000‑$244,000 plus bonus, equity and benefits. Responsibilities
Write and test product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Develop and refine Machine Learning techniques to improve Shopping Ads targeting performance and quality, and investigate new technologies to enhance personalization for Shopping Ads. Manage the full ML model life‑cycle: training, evaluation, deployment, and identification of improvement opportunities (e.g., new architectures, data, signals, evaluation methods). Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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