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 |
|---|---|---|
| Technical Lead, Machine Learning, Google Play Technical Lead for Machine Learning in Google Play, focusing on improving AI features using Gemini prompts, computer vision, and experimental validation. The role involves designing and building infrastructure for AI response quality and collaborating with research teams. | AgentEval Gate | 7 |
| Staff Software Engineer, TPU Machine Learning Supercomputer Staff Software Engineer role focused on designing and developing system software for TPU Machine Learning Supercomputers, improving scalability and reliability of large-scale software across distributed hardware. The role involves working on various software layers, from host daemons to network routing, and developing analytics for managing ML systems. Experience with C++, Go, distributed systems, and ML applications is required. |
| Serve |
| 7 |
| Team Lead, Mobile App, Ads, Serving, AI Focused This role is for a Team Lead focused on Mobile App Ads, specifically within a Serving and AI-focused context at Google. The position involves writing and testing product/system development code, collaborating on design and code reviews, triaging and debugging issues, and designing/implementing solutions in specialized ML areas leveraging ML infrastructure. The role requires experience with software development, testing, maintenance, launch, design, and architecture, with a specific emphasis on ML infrastructure, speech/audio, reinforcement learning, or other ML fields. | Serve | 7 |
| Manager, Content Adversarial Red Team Manager for the Content Adversarial Red Team (CART) responsible for leading a team that conducts adversarial red teaming on Google's generative AI products to uncover loss patterns and ensure product safety. The role involves interfacing with stakeholders, reviewing analytic products, and leveraging AI augmentation for process improvement. | Eval Gate | 7 |
| Associate Principal Analyst, Content Adversarial Red Team This role focuses on identifying and mitigating emerging content safety risks within Google's Generative AI products. The analyst will develop strategies to uncover novel threats and vulnerabilities, partner with product and engineering teams to implement solutions, and shape internal programs for AI safety. The role involves adversarial testing and advocating for AI safety initiatives. | Eval Gate | 7 |
| Software Engineer III, Knowledge Catalog For AI Software Engineer III role focused on building the Knowledge Catalog, a foundational context engine for AI and AI agents. The role involves designing and implementing features for agentic workflows, catalog infrastructure, and metadata enrichment, with a focus on enabling AI agents to reason and act on enterprise data. Experience with applied AI/ML and GenAI technologies is required, along with software development and large-scale infrastructure experience. | Agent | 7 |
| Software Engineer, Generative AI, Search Ads Personalization Software Engineer role focused on Generative AI for Search Ads Personalization. Responsibilities include writing and testing code, building model and architectural components for ad personalization, and implementing GenAI solutions using ML infrastructure. Requires experience with recommendation systems, ML infrastructure, and core GenAI concepts. | ShipServe | 7 |
| Principal Engineer, Health (Search Vertical) Principal Engineer for Google Search's Health vertical, focusing on technical strategy, architecture, and product integration. The role involves driving core quality, factuality, and helpfulness of health information, with a strong emphasis on user trust, safety, and regulatory compliance. It requires deep expertise in ML/AI algorithms, distributed systems, and influencing cross-functional teams, including Google DeepMind. | Ship | 7 |
| AI Robotics Product Manager Product Manager for Google's Data Center Software team, focusing on leveraging robotics and AI/ML to accelerate data center capacity delivery and maintenance. The role involves defining product strategy, leading the product lifecycle, and collaborating with engineering, research, and operations teams to deliver robotics solutions for physical operations within data centers. | ShipAgent | 7 |
| Health and Home UX AI Transformation Lead Lead UX AI transformation for Health and Home, bridging design and machine intelligence to evolve the organization into an AI-native design team. Guide partners through technical shifts, redefining collaboration and value delivery using UX mastery and AI literacy. Focus on next-generation user experiences, proactive, agentic, and personalized interactions, and integrating AI into the PDLC. | Agent | 7 |
| Applied ML and Backend Software Engineer Software Engineer at Google Ads focused on implementing ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing, with experience in agentic AI. | AgentData | 7 |
| Senior Software Engineer, Head Tracking, Beam, AI/ML Senior Software Engineer for Google Beam, focusing on AI/ML for head tracking. The role involves defining and owning the end-to-end strategy and roadmap for evaluating head tracking performance and robustness. Responsibilities include leading the development of evaluation infrastructure, collaborating with algorithm teams for improvements, designing testing scenarios, and working with cross-functional partners. Requires experience in C++, Python, and building evaluation systems for real-time systems like 3D tracking, robotics, or AR/VR, with a preference for ML frameworks and model evaluation experience. | Eval GateAgent | 7 |
| Business Data Scientist, Customer Voice, Analytics This role focuses on developing and deploying NLP and machine learning models to extract insights from customer conversations for a Go-to-Market team within Google's Ads product. The data scientist will identify trends, cluster feedback, predict customer behaviors, and ensure statistical rigor in reporting. The role involves designing, training, and deploying models, building predictive models, applying statistical methods, and communicating findings to leadership. | Post-trainAgent | 7 |
| Software Engineer, Apps, Video and Display Modeling Infrastructure Software Engineer role focused on building and improving modeling infrastructure for Google Ads, supporting user data collection, model training, feature iteration, inference, and serving. The role involves building infrastructure to enhance dev velocity and resource efficiency in ad personalization modeling, and assisting ML teams with onboarding the latest modeling infrastructure. | ServeData | 7 |
| Group Product Manager, Search AI Security Product Manager role focused on AI Security within Google Search, leveraging generative AI and threat intelligence to protect the platform and users. Responsibilities include defining product strategy, driving AI security awareness, managing the product lifecycle for security initiatives, and collaborating with R&D to deliver AI-powered security features. | Ship | 7 |
| Senior Technical Program Manager, Google Cloud Applied AI, Capacity Management Senior Technical Program Manager role focused on managing critical infrastructure capacity for Google Cloud Applied AI (AAI) products, including agent-based solutions and Gemini Enterprise. The role involves designing and operationalizing capacity planning processes, collaborating with cross-functional teams, and ensuring resource constraints do not hinder program velocity for enterprise customers. | ServeAgent | 7 |
| Director, Data Science, Verticals, Gemini App, DeepMind Director of Data Science for Gemini App's Verticals (Health, Education, Shopping) at Google DeepMind. Responsible for leading AI algorithms and product strategy, driving a holistic measurement framework, and developing personalization insights to enhance user growth and product success. Focuses on translating AI development into long-term product value. | Ship | 7 |
| Director, Strategic Projects, Public Engagement Lab Leadership role focused on strategic foresight and creative execution of AI/AGI futures, working with research teams to articulate capabilities, benefits, and risks, and overseeing the creation of experiences, simulations, and prototypes for external and internal stakeholders across various domains. | Agent | 7 |
| Senior Software Engineering Manager, Core, engEDU This role is for a Senior Software Engineering Manager to lead teams focused on embedding AI into Google's internal engineering education curriculum. The manager will provide technical leadership for major projects, manage project goals, contribute to product strategy, and develop their team. Key responsibilities include setting team priorities, providing feedback and coaching, developing long-term technical roadmaps, overseeing systems designs, and driving technical project strategy for ML infrastructure optimization and GenAI solutions. The role requires significant experience in software development, technical leadership, people management, ML infrastructure optimization, and GenAI techniques. | ServeAgent | 7 |
| Senior Software Engineer, GenAI GCP Security Senior Software Engineer role focused on designing and implementing GenAI solutions within Google Cloud, leveraging ML infrastructure and evaluating tradeoffs. Requires experience with Python/C++, ML infrastructure, and Generative AI techniques. | Agent | 7 |
| Senior Technical Program Manager, Google Cloud Applied AI, Agent Assist Senior Technical Program Manager for Google Cloud Applied AI, focusing on Agent Assist solutions for enterprise customers. This role involves leading end-to-end program lifecycles, managing cross-functional teams, and driving the delivery of generative AI products in a fast-paced environment. | Agent | 7 |
| Post-Training Technical Program Manager, GenAI, DeepMind Technical Program Manager for GenAI at DeepMind, focusing on post-training AI development. The role involves leading complex, cross-functional programs, translating AI concepts into strategic plans, managing stakeholders, and ensuring project delivery. Requires strong technical acumen and experience in leading engineering projects. | Post-train | 7 |
| Technical Program Manager III, Google Cloud Applied AI Technical Program Manager III for Google Cloud Applied AI, focusing on Gemini Enterprise solutions for customer experience. The role involves leading complex technical programs from inception to delivery, driving operational clarity, and partnering with engineering and product leadership to streamline processes and implement tooling efficiencies. Requires experience with Generative AI or Agentic Technologies and managing the lifecycle of GenAI products. | Agent | 7 |
| AML Transaction Monitoring Analyst This role focuses on building and optimizing an AML transaction monitoring program within Google Payments. It involves designing, implementing, and tuning rules and machine learning models, automating workflows, and integrating AI capabilities to enhance fraud and financial crime detection. The role also includes building reporting dashboards and using AI agents/LLMs for pattern identification. | AgentData | 7 |
| Software Engineer III, AI/ML, Google Workspace Google is seeking a Software Engineer III for their AI/ML team within Google Workspace. This role focuses on developing AI-powered features for productivity tools like Gmail, Docs, and Meet, impacting billions of users. The engineer will write product/system code, collaborate on design and reviews, contribute to documentation, triage issues, and implement ML solutions using ML infrastructure, focusing on model optimization and data processing. The role requires experience in Python/C++, ML infrastructure, and at least one ML specialization like speech/audio, reinforcement learning, or ML infrastructure. | Ship | 7 |
| Technical Lead, Native Commerce Integrations Technical Lead role focused on building the foundational protocol and API layer for AI agents to interact with commerce back ends. This involves designing schemas, developing AI commerce experiences on Google surfaces, building native integrations, and ensuring trust and safety for agentic transactions. The role also involves leading a team of engineers, driving technical strategy, and contributing to the codebase. | AgentServe | 7 |
| Software Engineering Manager, Commerce Shopping Quality Journey Orchestration Manage a team focused on orchestrating AI quality within Google Shopping, leveraging LLM-based autoraters for user metric proxies and driving improvements through advanced response orchestration. | Agent | 7 |
| Product Manager II, YouTube Shorts Effects and AI Product Manager for YouTube Shorts Effects, focusing on Augmented Reality and Generative AI capabilities. Responsibilities include owning the end-to-end roadmap, defining strategy for first-party and branded effects, and pioneering agentic workflows for effect production and automation. The role involves working at the intersection of product, marketing, and culture to enhance creative expression for millions of creators. | AgentData | 7 |
| Senior UX Engineer, YouTube Subscriptions Senior UX Engineer for YouTube Subscriptions, focusing on building an AI prototyping program for OTT content. This role involves architecting experimental frameworks for GenAI-driven creation tools, developing shared sandboxes and reusable toolsets for designers, and integrating LLMs to create functional, high-fidelity prototypes. The engineer will also work with front-end engineers to transition designs into production-ready UI. | Agent | 7 |
| Senior Software Engineer, Core, AI Enablement Google is seeking a Senior Software Engineer to join their AI Enablement organization, specifically the Core team. This role focuses on building internal AI-native products and tools to enhance Googler productivity. The engineer will lead the technical execution of transitioning AI prototypes into scalable products, own complex technical areas, and write high-quality code. Experience with LLMs, agentic workflows, and full-stack development is preferred. | ShipAgent | 7 |
| Software Engineer III, Google Play, AI Game Assistant Software Engineer III at Google Play focused on leveraging AI to create compelling user experiences for mobile games, including building and deploying recommendation systems models, utilizing ML infrastructure, and contributing to model optimization and data processing. | ShipData | 7 |
| Principal Engineer, YouTube Shorts, Creator Growth Principal Engineer for YouTube Shorts Creator Growth team, focusing on growing the creator ecosystem by inspiring viewers to create. This role involves modeling complex user journeys, building attribution systems, developing cold-start solutions, and creating sophisticated creator value models. It leverages LLMs, multi-modality modeling, and large embedding models for specialized recommender systems, partnering with Gemini and research teams to lower creation barriers. The role requires deep expertise in large-scale recommendation systems, Generative AI for content understanding, and machine learning infrastructure. | ShipAgent | 7 |
| Senior Software Engineer, Full Stack Senior Software Engineer role focused on full-stack development within Google Cloud's AI Research team. The role involves writing and testing code, participating in design reviews, reviewing code, contributing to documentation, and triaging/debugging issues. The team works on AI challenges across various industries, aiming to push state-of-the-art AI and bring innovations to real-world impact. Requires experience in Gen/AI and building AI applications. | Ship | 7 |
| Software Engineer III, AI/ML, gUP Customer Support Software Engineer III at Google working on User Voice and Cases AI Assistant, focusing on designing, developing, testing, deploying, and maintaining software systems for user voice model serving and other ML-based support needs. The role involves integrating ML models into production environments and working with ML infrastructure. | Serve | 7 |
| Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube Staff Software Engineer at Google focused on AI/ML for Recommendations, Rankings, and Predictions within YouTube. The role involves designing, developing, and deploying large-scale software solutions, leading ML infrastructure optimization, and guiding model architecture development. Requires significant experience in building and deploying recommendation systems models and ML infrastructure in production. | ShipServe | 7 |
| Practice Customer Engineer, Applied AI, Google Public Sector Customer Engineer specializing in Applied AI for Google Public Sector, partnering with sales teams to showcase Google Cloud's AI/ML capabilities, develop solutions, and conduct proofs of concept for government and education clients. Requires experience with AI/ML APIs, prompting, agent tooling, evaluation frameworks, and conversational AI. | Agent | 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 |
| Cloud AI Senior Technical Program Manager II Google Cloud is seeking a Senior Technical Program Manager II to guide the delivery of Generative AI products for enterprise customers. This role involves partnering with product managers, engineers, and leadership to define roadmaps, prioritize features, and drive complex technical projects to successful release. The TPM will leverage technical depth, product understanding, and program management expertise to influence Google's AI strategy and empower developers. | ShipAgent | 7 |
| Cloud AI Technical Program Manager III Technical Program Manager for Google Cloud's Generative AI products, focusing on enterprise customers. The role involves guiding the delivery of AI products, including agent platforms and model deployment, requiring deep technical and product understanding to manage complex AI programs from start to finish. | AgentPost-train | 7 |
| Software Engineer III, AI/ML, Display Ads Software Engineer III, AI/ML role focused on developing and optimizing ML models and infrastructure for Google's Display Ads platform. This involves writing code, collaborating on design and reviews, triaging issues, and implementing solutions in specialized ML areas, with a focus on model optimization and data processing. | Serve | 7 |
| Software Engineer, AI/ML, Workspace Software Engineer role focused on the quality of generative AI-powered features in Google Workspace. Responsibilities include modeling, evaluation, experimentation, synthetic data generation, and improving GenAI models for real products, collaborating with various Workspace and Gemini teams. Requires software development experience and experience with ML infrastructure, model evaluation, optimization, and data processing. | ShipData | 7 |
| Senior Research Data Scientist, AI Developer Tools This role focuses on driving the product success of Generative AI-based development tools within Google Cloud, leveraging advanced analytics and statistical methodologies. The Senior Research Data Scientist will partner with Engineering and Product Management to shape these tools, influence executive decisions, and lead product launch evaluations, working at the forefront of AI to redefine developer productivity. | Ship | 7 |
| Senior Site Reliability Engineer Senior Site Reliability Engineer (SRE) role focused on ensuring the reliability, scalability, and performance of AI/ML platforms, specifically the Vertex AI platform. The role involves supporting the full lifecycle of services, from design to operation, with a strong emphasis on automation, incident response, and building production-quality ML systems. While the role supports AI/ML platforms, the primary output is reliable infrastructure and services (L3), not the AI models themselves. | Serve | 7 |
| Technical Program Manager, Safety, Alignment and Collaboration, DeepMind Technical Program Manager for Post-Training & Alignment in GenAI at DeepMind, focusing on driving technical design, execution, and operational processes for safety, alignment, and collaboration. The role involves managing multi-team projects, adapting plans in fast-paced environments, identifying risks, and building stakeholder relationships. | Post-train | 7 |
| Product Manager II, Maps 3D and AI Product Manager for Google Maps 3D and AI, focusing on integrating GenAI and sensor data to build a 3D world model for geospatial use cases. The role involves defining product requirements, driving launches, developing product vision, validating market opportunities, and converting 3D geospatial understanding by leveraging AI, computer vision, and machine learning. | Ship | 7 |
| RTL Design and Integration Engineer, TPU and ML This role focuses on the RTL design and integration of Google's Tensor Processing Units (TPUs), which are custom hardware accelerators for AI/ML workloads. The engineer will be responsible for microarchitecture, design, implementation, and integration of digital logic blocks, collaborating with cross-functional teams to deliver hardware. The role emphasizes optimizing for performance, power, and area in complex digital designs for AI accelerators. | Serve | 7 |
| Senior Software Engineer, AI Powered GRC Automation This role focuses on building and maintaining a scalable platform to support AI-driven Governance, Risk, and Compliance (GRC) functions. The engineer will develop and implement AI/ML models and algorithms for automating tasks like continuous controls monitoring, audit readiness, and risk management, and will also engineer data pipelines for training and monitoring. | AgentData | 7 |
| Staff Software Engineer, AI/ML, App Ads Quality Staff Software Engineer at Google working on App Ads Quality, focusing on designing and improving deep learning-based ML models to predict user interaction with ads. This involves feature engineering, optimizing model efficiency and reliability, and debugging advertiser performance. The role requires significant experience in software development, ML design, and ML infrastructure. | Post-train | 7 |
| Security Engineer II, Uppercase Research Security Engineer II, Uppercase Research at Google, focusing on identifying and mitigating threat actors using big data, cybersecurity, machine learning, and large-scale cloud computing. The role involves technical threat actor behavior analysis, data analysis for ML pipelines, building detection engineering processes and tooling, managing YARA-L rules, and innovating detection engineering with LLM-based technologies. | Data | 7 |
| Software Engineer III, AI/ML Computer Vision, AR Software Engineer III at Google working on AI/ML Computer Vision for AR. Responsibilities include writing product/system code, collaborating with peers, contributing to documentation, triaging issues, and implementing computer vision solutions with ML infrastructure, model optimization, and data processing. Requires a Bachelor's degree, 2 years of Python/C++ experience, 1 year of Computer Vision experience, and 1 year of ML infrastructure experience. | ServeData | 7 |