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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.
- 8 years of experience in software development.
- 8 years of experience with one or more general purpose programming languages including but not limited to: Java, C/C or Python.
- 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- Experience with multimodal machine learning or LLMs, including building and launching products.
- Experience building, experimenting, and deploying AI-first systems and processes into production.
Preferred qualifications: - Experience in applied AI/ML, including model development, fine-tuning, application and evaluation.
- Experience leveraging Generative AI/LLMs for user-facing problems.
- Experience designing and building full-stack systems and self-service platforms.
- Experience with search/ads or quality systems.
- Familiarity with the latest research and trends in AI/ML, particularly as applicable to data quality and assessment.
- Understanding of GenAI data, evaluation methodologies, and data quality best practices.
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.
In this role, you will lead efforts, address foundational, open-ended problems in partnership with teams across Ads and DeepMind, and leverage AI to build 10x better ads experiences.
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: $207000 - $300000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Optimize the Search results page (including organic results and ads) to co-evolve ads, leverage AI to maintain business generation, create ad experiences, help users find content faster, and enable growth opportunities for advertisers.
- Leverage AI/ML advancements, including Large Language Models (LLMs) and Agentic AI, to solve optimization problems across search ads, from product innovation to agentic automation.
- Deliver ad experiences in the world of AI.
- Design, build, and maintain self-service tools and platform features that embed AI/ML quality evaluation methods.
- Architect systems for deploying and serving AI/ML models specifically for data quality assessment tasks.
