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X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications: - Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages, or 3 years of experience with an advanced degree.
- Experience working with Machine Learning and Generative AI.
- Experience conducting data analysis and quality evaluations.
- Experience with model training and Search Quality.
Preferred qualifications: - Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience with Large Language Model (LLM) training, prompt tuning, or evaluating models.
- Experience conducting data analysis and designing automated qualitative/quantitative metrics (e.g., custom win/loss classifiers).
- Experience in Search Quality or developing user-facing AI products.
About the jobWith your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
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: $174000 - $252000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Be prepared to discuss your knowledge and use of AI tools during the hiring process.
- Leverage new model capabilities to improve the helpfulness of AI Overviews and AI Mode on Search, adapting and pivoting to build better user experiences based on data and user feedback.
- Leverage new model capabilities to improve the helpfulness of AI Overviews and AI Mode on Search, adapting and pivoting to build better user experiences based on data and user feedback.
- Define and build robust auto-raters, tune prompts, evaluate models, and design automated qualitative and quantitative metrics (such as custom win/loss classifiers) to ensure responses are highly helpful.
- Work closely with Product Managers, UX Research/Design, Data Scientists, and partner teams to identify and deliver impactful product improvements for Search users.
