Currently tracking 498 active AI roles, down 12% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
Google has 584 active AI-related job listings. The majority of these roles are focused on agents, representing 40% of the total, and serving infrastructure, at 26%. The most frequent technical tags include model_serving, agent_orchestration, and evals. Over the last 30 days, Google has added 413 new AI roles, a 105% increase compared to the preceding 30-day period.
Google currently has 586 active AI-related roles in our index. The most common open titles are: Software Engineer (5), AI Adoption Customer Engineer, Google Cloud (3), Conversational AI Consultant (2), Engineering Manager, Egregious Abuse Protection (2), Forward Deployed Engineer III, Generative AI, Google Cloud (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (25%), application (19%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Google is hiring AI talent in: United States (376 roles), India (53 roles), Singapore (40 roles), Switzerland (20 roles).
Job postings at Google most frequently mention: Software Engineering, Algorithms & Data Structures, System Design, Computer Architecture, Machine Learning.
In the past 30 days, Google has posted 571 new AI-related roles. That is a +22% change versus the prior 30 days (469 → 571).
| Title | Stage | AI score |
|---|---|---|
| Product Manager, Ads and Commerce, Try On You Product Manager for Google's Ads and Commerce team, focusing on AI/LLM and ML-driven software solutions for consumer shopping experiences, including virtual try-on and agentic commerce. The role involves leading product roadmaps from conception to launch, defining strategy, and collaborating with cross-functional teams to deliver innovative, customer-centric products. | Ship | 7 |
| Senior Software Engineer, Recommendations, Search Intelligence Senior Software Engineer role focused on designing and implementing recommendation systems models within Google Search. This involves leveraging ML infrastructure, contributing to architecture, and deploying models in production. The role requires significant experience in software development and building recommendation systems. | Ship |
| 7 |
| Staff Software Engineer, Machine Learning, YouTube Shopping Recommendations Staff Software Engineer focused on building and deploying personalized recommendation systems for YouTube Shopping, driving viewer growth through ML technologies and algorithms. The role involves technical leadership, cross-functional collaboration, and working across the recommendation system stack, including model architecture and LLMs. | ShipAgent | 7 |
| Technical Program Manager III, AI/ML Intelligence, Search Technical Program Manager III for AI/ML Intelligence in Google Search, responsible for end-to-end ownership of AI projects, including planning, execution, stakeholder management, and driving best practices. The role involves collaborating with AI/ML teams, managing project timelines, risks, and ensuring timely delivery of AI-driven features for a large-scale consumer-facing product. | Ship | 7 |
| AI Engineer, Advanced Solutions Lab, Google Cloud AI Engineer role focused on developing and delivering ML/GenAI curriculum and solutions for enterprise clients, involving customer engagement, content design, and community contribution within Google Cloud. | Ship | 7 |
| Business and Marketing Data Scientist, Applied Machine Learning Data Scientist role focused on building and scaling ML models for sales and marketing within Google Customer Solutions, aiming to increase business growth and operational effectiveness for small and medium-sized businesses. Responsibilities include developing recommendation engines, impact measurement tools, and statistical models, integrating them into production, and analyzing pilot results. | ShipAgent | 7 |
| Senior Software Developer, Computer Vision, XR Senior Software Developer role focused on Computer Vision and XR at Google, involving the development and deployment of geometric sensing capabilities for XR products. The role requires experience in C++, Python, Computer Vision, ML infrastructure, and Augmented Reality, with a focus on scaling XR experiences and integrating AI/XR convergence. | ShipAgent | 7 |
| Staff Data Scientist, Discover Personalization and Quality Staff Data Scientist for Google Discover Personalization and Quality team, focusing on improving retrieval and ranking ML systems to deliver personalized content. This role involves analyzing systems, leading research, collaborating with engineering and product teams, and leveraging AI/LLM tools to enhance user experience and product growth. | Ship | 7 |
| Staff Software Engineer, YouTube Ads Machine Learning Staff Software Engineer role at Google YouTube Ads focusing on Machine Learning. The role involves designing, developing, and deploying large-scale software solutions, with a strong emphasis on ML infrastructure, model optimization, data processing, and building recommendation systems. Requires technical leadership and experience in ML design and deployment. | ShipServe | 7 |
| Product Manager, YouTube Ads Marketplace Optimization and ML Product Manager for YouTube Ads Marketplace Optimization and ML, focusing on improving bidding algorithms and machine learning models to drive long-term advertiser value and revenue. This role involves defining product strategy, partnering with engineering and data science, and managing the product lifecycle for AI-powered advertising solutions. | Ship | 7 |
| Lead Group Product Manager, Ads and Commerce, Payments Risk Lead Group Product Manager for Payments Risk at Google, focusing on building risk management functions for enterprise products like Ads, Cloud, and Workspace. The role involves defining product strategy, partnering with engineering and data science, and leveraging ML/Generative AI to manage risk and protect against bad actors within the Payments Platform. Requires experience launching AI/ML products and managing technical roadmaps. | Ship | 7 |
| Technical Program Manager III, Machine Learning, Core Technical Program Manager III, Machine Learning, Core at Google. This role involves managing complex, multi-disciplinary machine learning technology programs from start to finish, working with cross-functional teams to define requirements, identify risks, manage schedules, and communicate progress. The focus is on driving innovation in ML technologies that enable Google's products to understand users, contributing to AI and Infrastructure at scale. | Ship | 7 |
| Senior Software Engineer, Vision, Camera and Imaging, XR Senior Software Engineer role focused on developing full-stack vision, camera, and imaging solutions for XR devices, integrating AI and XR technologies to create augmented human intelligence experiences. The role involves optimizing software layers for quality, latency, and power efficiency, evaluating and developing new technologies, and collaborating across multiple teams including Google Research. | ShipAgent | 7 |
| Software Engineer III, AI/ML Recommendations, Rankings, Predictions, Google Ads Software Engineer III at Google Ads focused on building and deploying recommendation systems models, utilizing ML infrastructure, and contributing to model optimization and data processing. The role involves writing product or system development code, collaborating with peers, triaging issues, and debugging. Minimum qualifications include a Bachelor's degree, programming experience in Python or C++, and experience building/deploying recommendation systems models and ML infrastructure in production. | ShipData | 7 |
| Applied AI Staff Software Engineer, Looker Staff Software Engineer to lead the integration of AI and LLMs into the Looker data visualization and dashboarding platform, aiming to automate insights, enhance data storytelling, and build business intelligence experiences. | ShipAgent | 7 |
| Cloud AI Senior Technical Program Manager I Technical Program Manager for Google Cloud's Generative AI products, focusing on enterprise customers. This role involves guiding product delivery, defining roadmaps, prioritizing features, and managing complex technical projects from inception to release. The TPM will leverage technical depth, product understanding, and program management expertise to influence Google's AI strategy and empower developers. Responsibilities include managing programs related to agent platforms, Gemini enterprise, and model deployment, with a focus on AI model training, testing, evaluation, tuning, LLM release cycles, and AI product KPIs. The role requires translating technical concepts into strategy and understanding ML/AI principles. | ShipAgent | 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 |
| 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 |