Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Write 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.
Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.
Work with and finetune LLMs for targeting, large-scale retrieval, pseudo-rater, and other Ads applications.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in Python, or 1 year of experience with an advanced degree.
2 years of experience ML/AI algorithms, tools, deep learning, or other AI/ML modeling.
1 year of experience building and deploying recommendation systems models (e.g., retrieval, prediction, ranking, personalization, search quality, embedding) in production.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications
Master's degree or PhD in Computer Science or a related technical field.
2 years of experience with data structures and algorithms.
Experience developing accessible technologies.
Experience in GenAI related model fine tuning, large language models building or product enablement exploration.
Deep familiarity with Search/Ads infrastructure, auction mechanics, or generative AI models.
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in Python, or 1 year of experience with an advanced degree.
2 years of experience ML/AI algorithms, tools, deep learning, or other AI/ML modeling.
1 year of experience building and deploying recommendation systems models (e.g., retrieval, prediction, ranking, personalization, search quality, embedding) in production.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
