Join Google Search AI and work at the intersection of industry leading global scale. We apply breakthrough research, leveraging models like Gemini, to launch high-impact products that help billions ask any question and get things done. If you want to drive the future of AI in Search and work with world-class experts to deliver tangible, global impact and continuous innovation, this is the place. 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.
Design and implement AI-centric workflows to fulfill quality objectives.
Develop the next generation Image Search Quality stack as a core team member.
Analyze search queries, identify failure cases, propose new ideas, and validate those through experiment iterations.
Improve AutoRaters and evaluation metrics to guide offline quality development.
Adopt and contribute to the recursive self improvement agent within the development process.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages.
1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.
1 year of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
Experience applying machine learning techniques to ranking performance and information retrieval systems.
Experience integrating generative AI tools or LLM interfaces into workflows.
Preferred qualifications
Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures and algorithms.
Experience in natural language processing.
Experience developing accessible technologies.
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages.
1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.
1 year of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
Experience applying machine learning techniques to ranking performance and information retrieval systems.
Experience integrating generative AI tools or LLM interfaces into workflows.
