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 |
|---|---|---|
| Senior Software Engineering Manager, Mobile Maps Innovation Senior Software Engineering Manager for Mobile Maps Innovation at Google. This role involves leading strategy and execution for new ways users search and interact with the physical world, focusing on leveraging location history and on-device components to provide intelligent, predictive context. The manager will oversee feature development, drive user-facing product initiatives (e.g., monetization), manage cross-functional projects, and grow/mentor a team. A key aspect is driving GenAI adoption and managing the deployment of models like Gemini Nano on hardware for validation. | Ship | 7 |
| Staff Data Scientist, Discover Personalization and Quality Staff Data Scientist role focused on personalization and quality for Google Discover, involving the development and improvement of retrieval and ranking ML systems. The role requires leveraging AI and LLM techniques to enhance user experience and product growth, with responsibilities including analysis, research, and technical leadership. |
| Ship |
| 7 |
| Senior Staff Software Engineer, Search Ads Bidding Senior Staff Software Engineer focused on building and growing the adoption of next-generation bidding technology and products for Search Ads, leveraging ML and Generative AI for optimizations. This includes developing full-stack backend software, implementing sustainable systems and data pipelines, and launching advertiser-facing products and backend improvements. | Ship | 7 |
| Staff Software Engineer, YouTube Ads Machine Learning Staff Software Engineer at Google YouTube Ads ML team, focusing on designing, developing, and deploying large-scale ML solutions for advertising products. The role involves technical leadership, optimizing ML infrastructure, and building recommendation system models. | ShipData | 7 |
| Technical Program Manager III, Machine Learning, Core Technical Program Manager III, Machine Learning, Core at Google. This role focuses on driving innovation in machine learning to enhance Google's products, working with cross-functional teams to manage complex programs from start to finish. The role requires understanding ML technologies and their applications, managing schedules, and communicating with stakeholders at all levels. The team is responsible for AI and Infrastructure at scale, supporting Google's products and customers. | Ship | 7 |
| Staff Research Scientist, Women's Health Sensing Research Scientist role focused on developing and leading a health sensing roadmap for women's reproductive health, leveraging Google's hardware products, apps, and third-party integrations. The role involves driving new research ideas from conception through to production, collaborating with cross-functional teams, and publishing findings in top venues. | Ship | 7 |
| Group Product Manager, Google Ads, Consumer Shopping Product Manager for Google Ads Consumer Shopping, focusing on building AI-powered shopping journeys and experiences. The role involves strategy development, cross-functional collaboration, and understanding the competitive retail landscape to drive the deployment of ML/LLM solutions. Experience with AI-native products and agentic commerce is preferred. | Ship | 7 |
| Senior Software Engineer, AI/ML, Google Workspace Senior Software Engineer role focused on building AI/ML features for Google Workspace products, impacting billions of users. The role involves designing and implementing ML solutions, leveraging ML infrastructure, and collaborating with model builders from Google DeepMind to shape the future of productivity tools. | Ship | 7 |
| Group Product Manager, Generative AI, Google Cloud Product Manager for Generative AI on Google Cloud Platform, focusing on driving AI-driven experiences and solutions from ideation to production. This role involves cross-functional collaboration, roadmap definition, and staying current with Generative AI technologies to evolve product offerings. | Ship | 7 |
| Software Engineer III, AI/ML GenAI, Google Workspace Software Engineer III at Google Workspace focused on implementing GenAI solutions for productivity tools like Gmail, Docs, and Meet. The role involves utilizing ML infrastructure, contributing to data preparation, optimization, and performance enhancements, and working with core GenAI concepts such as LLMs, Multi-Modal, and Large Vision Models for text, image, video, or audio generation. The primary goal is to build AI-powered features into user-facing products. | ShipServe | 7 |
| Senior Software Engineer, AI/ML Recommendations, Rankings, Predictions, Google Ads Senior Software Engineer role focused on building and deploying recommendation systems, rankings, and predictions models within Google Ads, leveraging ML infrastructure and contributing to architecture design. Requires significant experience in building and deploying recommendation systems and ML infrastructure in production. | Ship | 7 |
| Software Engineer III, AI/ML Recommendations, Rankings, Predictions, YouTube Software Engineer III at Google working on AI/ML Recommendations, Rankings, and Predictions for YouTube. The role involves writing product/system code, collaborating with peers, contributing to documentation, triaging issues, and building/deploying recommendation systems models using ML infrastructure, with a focus on model optimization and data processing. Requires a Bachelor's degree, 2 years of Python/C++ experience, 1 year of experience building/deploying recommendation systems, and 1 year of ML infrastructure experience. | ShipData | 7 |
| Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube Staff Software Engineer at Google working on AI/ML for YouTube Recommendations, Rankings, and Predictions. The role involves designing, developing, and deploying large-scale software solutions, providing technical leadership, and optimizing ML infrastructure. Key responsibilities include leading the design and implementation of recommendation systems, optimizing ML infrastructure, and guiding model architecture development. Requires significant experience in building and deploying recommendation systems models in production and leading ML design and optimization. | ShipAgent | 7 |
| Software Engineering Manager II, AI/ML Recommendations, Rankings, Predictions, YouTube Software Engineering Manager II for AI/ML Recommendations, Rankings, and Predictions at YouTube. This role involves leading a team of engineers, setting team priorities, developing technical roadmaps, designing and implementing recommendation systems, optimizing ML infrastructure, and guiding model architecture development. Requires experience in software development, ML design, ML infrastructure optimization, building and deploying recommendation systems, and technical/people leadership. | ShipServe | 7 |
| Senior Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube Senior Software Engineer focused on building and deploying recommendation systems models for YouTube, leveraging ML infrastructure and contributing to architecture design. This role involves coding, testing, debugging, and designing models for retrieval, prediction, ranking, and personalization. | ShipData | 7 |