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.
Currently tracking 498 active AI roles, down 12% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
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 |
|---|---|---|
| Senior Staff Tech Lead, YouTube Shorts Quality Senior Staff Tech Lead for YouTube Shorts Quality, focusing on optimizing the feed and user satisfaction through large-scale recommendation systems. This role involves defining technical strategies, leading teams in designing and deploying recommendation models, and partnering with cross-functional teams to drive growth in the Shorts ecosystem. | ShipServe | 8 |
| Staff Software Engineer, AI Engines 3P TPU Inference Staff Software Engineer focused on AI Engines 3P TPU Inference, working on ML infrastructure, compilers, and runtimes for Google's AI models. The role involves developing and optimizing ML software infrastructure, partnering with research, and ensuring high performance and scalability for inference. |
| 8 |
| Senior Staff Software Engineer, Google Product Studio Senior Staff Software Engineer to lead design and development of AI-powered content creative generative experiences for small and medium businesses, leveraging multimodal AI (image, text, video) to democratize marketing. | ShipPost-train | 8 |
| Research Engineer, Security and Privacy, DeepMind Research Engineer at Google DeepMind focused on building security and privacy solutions for AI agents, specifically addressing prompt injections and contextual security vulnerabilities. The role involves developing classifiers and policy engines, and working with product teams to integrate these solutions. The position emphasizes research, publication, and contributing to the broader AI community. | AgentEval Gate | 8 |
| Staff Software Engineer, AI/ML, Google Cloud AI Staff Software Engineer at Google Cloud AI, focusing on developing and deploying large-scale AI/ML solutions for customer experience applications powered by Gemini Enterprise. The role involves technical leadership, optimizing ML infrastructure, and guiding model optimization and data processing strategies. | ServeData | 8 |
| Forward Deployed Engineer I, Applied AI, Google Cloud Forward Deployed Engineer focused on transforming conversational AI prototypes into production-ready agentic workflows for enterprise customers on Google Cloud. This role involves architecting, coding, and optimizing AI systems, including multi-agent systems and RAG, while also building evaluation pipelines and observability frameworks. | AgentEval Gate | 8 |
| Forward Deployed Engineer IV, Applied AI, Google Cloud Forward Deployed Engineer IV, Applied AI, Google Cloud. This role focuses on transforming conversational AI prototypes into production-ready solutions, owning the end-to-end engineering lifecycle for customers' critical AI initiatives. Responsibilities include architecting and coding conversational flows, building evaluation pipelines and observability frameworks for agentic workloads, and co-building with customer engineering teams to instill best practices. The role requires experience with software development, ML operations, cloud infrastructure, and deploying resources via tools like Terraform. | AgentServe | 8 |
| Software Engineer III, AI/ML, Image Recommendation Modeling Software Engineer III at Google on the Ember team, focused on building and scaling ML infrastructure for an AI-powered image recommendation and personalized feed platform. The role involves applying advanced ML and GenAI techniques to create new user experiences, manage the end-to-end ML lifecycle, and collaborate with cross-functional teams to deliver on the product roadmap for Google Images. | ShipData | 8 |
| Senior Software Engineer, AI/ML, AI and Infrastructure Senior Software Engineer role on the AI and Infrastructure team at Google, focusing on developing and scaling AI/ML capabilities and infrastructure. The role involves writing and testing product/system code, collaborating on design and code reviews, contributing to documentation, triaging and debugging issues, and designing/implementing ML solutions leveraging ML infrastructure. Requires experience in Python/C++, software development, ML infrastructure, and specialization in areas like speech/audio, reinforcement learning, or other ML fields. | ServePost-train | 8 |
| Senior Staff Software Engineer, Generative AI Senior Staff Software Engineer role focused on Generative AI within Google Cloud's Applied AI team, specifically powering business growth with Gemini Enterprise solutions like Shopping Agent and CX Agent Studio. The role involves technical leadership, influencing distributed teams, and designing/developing/deploying large-scale software solutions with a focus on GenAI techniques and ML infrastructure. | ShipServe | 8 |
| Forward Deployed Engineer II, Applied AI, Google Cloud Forward Deployed Engineer II, Applied AI, Google Cloud. This role focuses on transforming conversational AI prototypes into production-ready, scalable, and secure AI systems for enterprise customers. Responsibilities include leading the end-to-end engineering lifecycle, architecting conversational flows, building evaluation pipelines and observability frameworks for agentic workloads, and identifying field patterns to improve the AI stack. Requires experience with software development, cloud platforms, and deploying resources via tools like Terraform. Preferred qualifications include experience with multi-agent systems, RAG, and troubleshooting live systems. | AgentServe | 8 |
| Staff Software Engineer, Ads in AI Experiences Staff Software Engineer role focused on developing AI-powered advertising experiences by translating product concepts into ML tasks within the core AI-mode model. The role involves guiding product direction, formulating technical strategy, exploring emerging technologies, and working with cross-functional teams across Ads, Search, Deep Mind, and Google Research. Requires experience with ML/AI tools, frameworks, platforms, and LLMs, with a focus on building user-visible features. | Ship | 8 |
| Forward Deployed Engineer III, Google Cloud, Applied AI The Forward Deployed Engineer III role focuses on transforming conversational AI prototypes into production-ready solutions for enterprise customers on Google Cloud. This role involves end-to-end engineering, including architecting agentic workflows, building evaluation pipelines, and ensuring scalability and security. It requires strong software engineering, MLOps, and cloud infrastructure skills, with a focus on customer success and leveraging Google's AI portfolio. | AgentServe | 8 |
| Software Engineer III, Generative AI, Agent Engineering Software Engineer III, Generative AI, Agent Engineering role focused on applying Google's Generative AI to solve real-world challenges for strategic customers. The role involves building, deploying, and optimizing AI agents on the CES platform, acting as a specialized software engineer embedded with key accounts. Responsibilities include designing, co-developing, debugging, and deploying custom conversational AI agents, writing bespoke code, developing custom tooling, and providing feedback to core product teams. The role also involves systematizing learnings into reusable tools and best practices, and guiding customers on agent performance and production readiness. | Agent | 8 |
| Senior Software Engineer, Generative AI, Core ML Senior Software Engineer role focused on transforming AI agent development into an engineering discipline. The role involves architecting and productionizing horizontal infrastructure for agents, including knowledge stores and self-reflection modules, to enable autonomous learning and improvement. Responsibilities include applying design principles to transition logic from prompts to code-based workflows, scaling automated prompt optimization, and implementing safety enforcements for agent reliability. The goal is to bridge the gap between prototypes and scalable production infrastructure for generative AI agents. | AgentServe | 8 |
| Technical Program Manager, Agentic Capabilities and Product Integration, DeepMind Technical Program Manager at Google DeepMind responsible for bridging core AI research with product integration, focusing on agentic capabilities and features. The role involves scoping, planning, and delivering complex technical programs, leading cross-functional collaborations, managing dependencies and risks, and evaluating API designs and agentic workflows to drive product launches. | Agent | 8 |
| Staff Software Engineer, Generative AI, Core Machine Learning Staff Software Engineer focused on transforming AI agent development into an engineering discipline. The role involves architecting and productionizing horizontal infrastructure, including Knowledge Store libraries and self-reflection modules, to improve the quality, reliability, and efficiency of AI agents. Key responsibilities include extracting deterministic logic from prompts into code-based workflows, scaling automated prompt optimization, and implementing code-level safety enforcements. | Agent | 8 |
| Staff Software Engineer, CoreOS Agentic Engineering Staff Software Engineer role focused on Agentic Engineering within Google's CoreOS. The role involves conceptualizing, developing, and productionizing AI-driven strategies to optimize Google's global compute performance and operating system. Responsibilities include designing and building large-scale software solutions, leading teams, and developing tools for monitoring and testing. | Agent | 8 |
| Principal Engineer, YouTube Shorts, Viewer Feed Quality Principal Engineer for YouTube Shorts Viewer Growth team, focusing on improving viewer recommendations through advanced AI/ML. Responsibilities include setting technical strategy, building high-quality feeds, defining viewer metrics, and integrating user interests and real-time responsiveness. Collaborates with cross-functional teams on next-gen infrastructure and generative AI. | Ship | 8 |
| Staff Software Engineer, AI-Powered GRC Automation Staff Software Engineer to build an AI-powered platform for automating and scaling Governance, Risk, and Compliance (GRC) functions within Google Cloud and Technical Infrastructure. The role involves defining technical strategy, architecting scalable solutions, and leading the development of AI/ML models for continuous monitoring, privacy enforcement, audits, and risk reporting. Responsibilities include assessing data quality, building data pipelines, and understanding control objectives for AI-enhanced monitoring. | AgentData | 8 |
| Senior Software Engineer, AI/ML GenAI, Google Cloud AI Senior Software Engineer role focused on designing and implementing GenAI solutions within Google Cloud AI. The role involves leveraging ML infrastructure, evaluating different techniques, and working with state-of-the-art GenAI concepts like LLMs and Multi-Modal models. Requires strong programming skills (Python/C++) and experience with ML infrastructure and software development. | Agent | 8 |
| Software Engineer, Generative AI, Agentic Creatives Optimization, YouTube Ads Software Engineer role focused on Generative AI for YouTube Ads, specifically optimizing creative generation and optimization using ML models and GenAI techniques. The role involves implementing ML infrastructure, developing models, and creating novel ad formats to drive advertiser value. | ShipPost-train | 8 |
| Staff Software Engineer, Deep Data Research, Applied AI Staff Software Engineer for Google's Applied AI team, focusing on building and scaling conversational AI agents for enterprise customers. The role involves driving technical strategy, architecture, and execution for large-scale AI platforms, collaborating with model builders, and delivering new capabilities with agility. | Agent | 8 |
| Senior Software Engineer, Generative AI, Agentic Creatives Optimization, YouTube Ads Senior Software Engineer role focused on Generative AI for creative optimization in YouTube Ads. The role involves developing machine learning models and infrastructure for creative generation and optimization, working with GenAI and ML models to create novel ad formats and experiences. It requires experience in software development, ML infrastructure, and GenAI techniques. | AgentPost-train | 8 |
| Senior Staff Research Data Scientist, AI Data This role focuses on improving AI model performance through the development of new methodologies for training data, including data acquisition and insights. The Senior Staff Research Data Scientist will work with large datasets, solve complex data science problems, and collaborate with product and model teams to advance AI. | Data | 8 |
| Software Engineer III, AI/ML GenAI, Google Cloud Compute Software Engineer III role focused on implementing GenAI solutions within Google Cloud Compute, utilizing ML infrastructure, and contributing to data preparation, optimization, and performance enhancements. Requires experience with core GenAI concepts like LLMs, Multi-Modal, and Large Vision Models, and generation across text, image, video, or audio. | ServePost-train | 8 |
| Machine Learning Hardware Architect, TPU This role focuses on architecting and defining specifications for next-generation high-performance computing systems, specifically TPUs, to accelerate AI/ML applications. The individual will collaborate with software teams to define AI workload requirements, perform architecture studies for performance and efficiency, and influence technical roadmaps for hardware-software platforms. The goal is to drive the evolution of AI hardware for large-scale systems and data centers. | Serve | 8 |
| Senior Data Scientist, GeminiApp, DeepMind Senior Data Scientist at Google DeepMind working on the GeminiApp, focusing on developing data-driven product strategies, building and deploying ML models to enhance product capabilities and personalize user experience, and collaborating with the GenAI team on model quality and feature adoption. The role involves translating ambiguous questions into well-defined problems, designing experiments, analyzing large datasets, and communicating insights to stakeholders. | Ship | 8 |
| Senior Product Manager, GenAI Media Safety Product Manager responsible for ensuring the safety of Generative AI features for video, image, and audio on YouTube. This involves defining safety principles, developing AI-powered systems for risk management, and building evaluation protocols and safety platforms. | ShipEval Gate | 8 |
| Senior Product Manager, Cloud AI, Gemini API Senior Product Manager for Google Cloud's Gemini API, focusing on next-generation agentic capabilities. The role involves bridging research breakthroughs with developer-friendly abstractions for the Gemini Enterprise Agent Platform, targeting enterprise developers with a focus on compliance and controls. Responsibilities include defining product strategy for agents, improving developer tools for building and governing agents, evolving the Interactions API, and leading product lifecycle from 0-to-1 launches. | Agent | 8 |
| Staff Software Engineer, NotebookLM, Generative AI, Labs Staff Software Engineer focused on designing, developing, and maintaining robust evaluations for NotebookLM Chat and Content Studio features. This role involves improving evaluation infrastructure, defining quality metrics, and staying updated on LLM evaluation techniques within Google's Labs group, which incubates early-stage AI efforts. | Eval Gate | 8 |
| Software Engineering Manager, AI/ML Manage a team of engineers focused on scaling data optimization techniques to improve the performance and quality of ML models. This role involves partnering with research teams and ML practitioners to build engineering tools, processing pipelines, and integration with existing workflows, ultimately supporting user adoption and advancing Google's AI goals. Experience with GenAI infrastructure and ML research/development workflows is preferred. | DataPost-train | 8 |
| Software Engineer, Agentic AI Systems, Cloud Security Software Engineer role focused on building next-generation agentic AI systems for Google Cloud Security, aiming to protect major organizations worldwide by developing foundational AI platforms and scaling security agents. | Agent | 8 |
| Staff Engineering Analyst Manager, Veo and Robotics This role leads a team of engineering analysts focused on AI safety for foundational models like Gemini, Veo, and Robotics. Responsibilities include developing introspection heads, post-training models for safety alignment, building LLM-based safeguards, and generating insights from model logs. The role emphasizes collaboration across Google DeepMind and Trust & Safety, strategic direction for model launches, and rigorous auditing of model safety. | Post-trainAgent | 8 |
| Software Engineer, Generative AI, Workspace Software Engineer role focused on building and scaling Generative AI products within Google Workspace, impacting billions of users. Involves architecting models and infrastructure, collaborating with researchers and PMs, and developing high-quality code for AI-powered productivity tools like Gmail and Docs. | Ship | 8 |
| Senior Staff Software Developer, AI/ML GenAI, Google Workspace Senior Staff Software Developer role focused on developing and deploying GenAI solutions within Google Workspace, impacting billions of users. The role involves technical leadership, ML infrastructure optimization, and driving the strategy for state-of-the-art GenAI applications. | ShipServe | 8 |
| Senior Software Engineer, AI/ML, Creative Intelligence Senior Software Engineer at Google focused on developing and productionizing advanced ML models for optimizing Ad creative composition and delivery. The role involves driving technical strategy, building scalable ML pipelines, and mentoring engineers in the intersection of GenAI, ML, and large-scale distributed systems for ad products. | ShipPost-train | 8 |
| Staff Software Engineer, AI/ML GenAI, Google Cloud Staff Software Engineer role at Google Cloud focused on designing, developing, and deploying large-scale GenAI solutions. The role involves technical leadership, optimizing ML infrastructure, guiding data preparation and model optimization, and working with state-of-the-art GenAI techniques like LLMs, Multi-Modal, and Large Vision Models. Requires significant software development experience and specific experience in ML design and GenAI techniques. | ServePost-train | 8 |
| Senior Software Engineer, AI/ML, Youtube Ads Google is seeking a Senior Software Engineer for the YouTube Ads ML team. This role involves applying state-of-the-art machine learning techniques to deliver ad recommendations on YouTube by analyzing user activity sequence patterns. The engineer will create personalized advertising experiences, identify high-value users for advertisers, and research, design, apply, and launch innovative ML techniques. The role requires strong software development skills, experience with ML infrastructure, and Python programming. | Ship | 8 |
| Technical Lead Manager, ML and GenAI, Ads Safety Technical Lead Manager for ML and GenAI in Ads Safety at Google. This role involves managing a team of engineers focused on enhancing and rolling out ML models, solving bottlenecks, and architecting production-quality AI-powered products, including recommendation systems and potentially Generative AI Agents. Requires experience in building AI-powered products with technologies like RAG and managing ML systems in production. | ShipAgent | 8 |
| Software Engineer, Recommendations, Rankings, Predictions, Consumer Shopping Commerce This role focuses on building platforms for specialized agents that coordinate to manage commerce intents at scale, pushing AI search boundaries for seamless visual and text experiences. It involves pioneering self-optimizing systems and building/deploying recommendation systems models, utilizing ML infrastructure, and addressing AI quality problems with agentic solutions. | AgentServe | 8 |
| Staff Software Engineer, GPU Performance Staff Software Engineer focused on optimizing GPU performance for LLM training and serving within Google Cloud. This role involves benchmarking, performance analysis, and implementing solutions at scale, working with cutting-edge AI accelerators and low-level GPU programming. | Serve | 8 |
| Senior Software Engineer, Generative AI, GCP Data Analytics Senior Software Engineer role focused on building the core reasoning engine for a generative AI-powered data analytics platform (BigQuery). The role involves technical strategy, architectural design, cross-functional collaboration with AI/ML teams, and ensuring the performance, reliability, and observability of agent services. It requires experience with ML infrastructure, GenAI techniques, agent development, distributed systems, and data warehousing. | AgentServe | 8 |
| Senior Software Engineer, AI/ML GenAI, Google Cloud Compute Infrastructure Senior Software Engineer role focused on designing and implementing GenAI solutions within Google Cloud Compute Infrastructure. The role involves leveraging ML infrastructure, evaluating techniques, and working with state-of-the-art GenAI models like LLMs and Large Vision Models. Requires strong programming skills (Python/C++), experience with ML infrastructure, and software design/architecture. | ServePost-train | 8 |
| Staff Software Engineer, AI/ML, YouTube Ads Staff Software Engineer at Google working on AI/ML for YouTube Ads, focusing on composing, personalizing, and optimizing ad creatives at scale using deep learning, reinforcement learning, and generative AI. The role involves developing intelligent systems, building ML pipelines, exploring generative models for various media, and contributing to the architecture of centralized services for creative optimization. | ShipPost-train | 8 |
| Product Manager, Search Ads Relevance and User Quality Product Manager for Search Ads Relevance and User Quality at Google, focusing on building and launching ML models that leverage foundational models and LLMs to improve ad relevance and user experience across Google Search and AI Mode. This role involves cross-functional collaboration with engineering, research, and product teams to enhance AI systems for search and shopping ads. | ShipPost-train | 8 |
| Senior Software Engineer, Recommendations, Rankings, Predictions, Search Discover Senior Software Engineer role focused on building and optimizing AI-driven personalization and recommendation systems for Google Search and Discover. The role involves developing new ranking algorithms, analyzing experiment results, designing recommendation system models, and leveraging ML infrastructure to influence what millions of users see daily. It requires significant experience in building and deploying recommendation systems models and ML infrastructure in production. | ShipAgent | 8 |
| Group Product Manager, Complex Journeys, Search Product Manager for Google Search, focusing on evolving Search into the best information agent by delivering Gen AI responses across core AI surfaces. The role involves defining and driving new productivity cases, ensuring discoverability and accessibility of AI products, and partnering with engineers to translate product bets into tangible deliverables for a Generative AI Search experience. | AgentShip | 8 |
| Senior Staff Engineering Analyst Manager, Gemini, NanoBanana, Veo Senior Staff Engineering Analyst Manager for Gemini, NanoBanana, Veo, focusing on Introspection and post-training model mitigations. The role involves leading and scaling a team, pioneering safety mitigation architectures using technologies like supervised fine tuning and direct preference optimization, driving cross-functional alignment, directing foundational model launch strategies, and applying data science to audit model safety. Requires 8 years of experience in data science/ML and 5 years in technical leadership/people management. | Post-train | 8 |
| Senior Engineering Analyst, Trust and Safety, Cloud AI This role focuses on ensuring the safety and trustworthiness of Google Cloud's AI products. The Senior Engineering Analyst will leverage advanced ML/AI techniques to develop and deploy scalable safety solutions, analyze AI risks (including generative and agentic AI), and respond to security incidents. The role involves identifying and mitigating emerging threats, synthesizing data to uncover abuse patterns, and partnering with engineering and product teams to combat novel AI threats. | AgentEval Gate | 8 |