Currently tracking 489 active AI roles, up 170% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$505k (avg $233k).
| Title | Stage | AI score |
|---|---|---|
| Tech Lead, YouTube Main App Services Tech Lead for YouTube's core server infrastructure, responsible for technical strategy, leading an engineering team in architecting high-performance solutions, and innovating with machine learning for personalized viewer experiences. | Ship | 5 |
| Engineering Manager, Operations Intelligence, gUP Engineering Engineering Manager for Operations Intelligence team, focused on building and leading a team to design, develop, and maintain systems and platforms that automate content life-cycle using data and automation, including ML/NLP and Generative AI. | Ship | 5 |
| Staff Software Engineer, Mobile (Android), Photos |
| Ship |
| 5 |
| Product Data Scientist, FOP Optimization Product Data Scientist role focused on optimizing Google's Payments products and solutions, specifically the Smart Router infrastructure which uses ML/AI for transaction processing. The role involves driving analytics for FOP optimization, influencing strategy, and collaborating with product and engineering teams to improve buyflows and conversion rates on platforms like Play and YouTube. | Ship | 5 |
| Staff Research Data Scientist, Search Ads AI Monetization This role focuses on applying AI/ML and analytics to solve product and business problems within Google Ads, specifically for AI Monetization. The individual will collaborate with stakeholders, design and evaluate models, gather data, and ensure data quality for analysis. The role requires experience with analytics, AI/ML technologies, and consumer-facing products, with a strong emphasis on quantitative skills and data manipulation. | Ship | 5 |
| Software Engineer III, Google Workspace Google is seeking a Software Engineer III to work on AI-powered features for Google Workspace. The role involves developing next-generation technologies that enhance productivity tools like Gmail, Docs, and Meet, with a focus on building future AI capabilities. The engineer will collaborate with AI model builders and impact billions of users globally. | Ship | 5 |