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 |
|---|---|---|
| Research Scientist, Frontier AI, DeepMind Research Scientist at Google DeepMind focused on advancing the frontiers of artificial intelligence, specifically developing next-generation multimodal models. This role involves defining and leading ambitious research projects, designing innovative model architectures, and contributing to the overall research strategy with a strong emphasis on publications in top ML conferences. | PretrainPost-train | 10 |
| Senior Software Engineer, AI/ML, LLM Modeling This role focuses on training and deploying Large Language Models (LLMs) for search applications, involving reinforcement learning, multi-step reasoning, distillation, and optimizing model latency in production. The engineer will propose new modeling ideas, collect and evaluate training data, design evaluations, and collaborate on applying LLMs in real-world scenarios. |
| Post-trainServe |
| 9 |
| Software Engineer III, AI/ML Shopping Creator, YouTube Google is seeking a Software Engineer III for their YouTube Shopping Creator team. This role focuses on leveraging AI/ML to enhance creator content and engagement with shopping features. The engineer will lead the design and development of ML/AI models, architect systems integrating LLMs for intelligent recommendations, and collaborate with cross-functional teams to deliver the roadmap for AI capabilities. The role requires experience in software development and ML infrastructure, with preferred experience in e-commerce and deep understanding of ML/LLM systems. | Agent | 8 |
| Software Engineer III, XR World Context Software Engineer III at Google, focusing on the convergence of AI and XR. The role involves developing and productionalizing computer vision and machine learning technologies for spatial AI, context awareness, and 3D scene understanding, specifically for XR devices like headsets and smart glasses. The engineer will lead the development and deployment of Sensing capabilities, collaborate with system owners on roadmaps, and scale impact through robust systems and processes. | Ship | 8 |
| Research Software Engineer, Computer Vision Research Software Engineer focused on computer vision and ML for XR applications, specifically 3D reconstruction, scene understanding, and novel view synthesis. The role involves research, development, and optimization of 3D scene representation pipelines, bridging the gap from research to product. | AgentServe | 8 |
| Tech Lead Manager, Freshness and Factuality, GeminiApp, DeepMind Tech Lead Manager for GeminiApp, DeepMind, focusing on measuring the intelligence of AI agents through testing systems, developing test problems, and evaluating agent performance. The role involves leading a team of software engineers to ensure freshness and factuality in Gemini applications, driving backend improvements, and productionizing solutions. It requires a strong software engineering foundation, technical leadership, and experience with deep learning/machine learning, with a focus on offline and online evaluation pipelines and agent testing. | Eval GateAgent | 8 |
| Software Engineer III, 3D Modelling, XR Google is seeking a Machine Learning Engineer with a focus on 3D geometry to work on the convergence of AI and XR. The role involves managing the end-to-end training process for ML models, optimizing them for various environments, and ensuring data quality and robustness. The engineer will adapt research in monocular depth modeling for real-world scenarios, bridging the gap between research and product requirements. | Post-trainServe | 8 |
| Software Engineer III, AI/ML, Gemini Integration/Customisation Software Engineer III role focused on integrating and customizing Google's Gemini AI model into XR products, requiring experience in generative AI, ML, and software development. The role involves collaborating with research teams to improve model performance for XR applications and developing expertise in the full deployment stack. | Agent | 8 |
| Senior Applied ML Engineer, Graph Neural Network, ML Frontiers Senior Applied ML Engineer focused on Graph Neural Networks within the Graph Flow platform, bridging pioneering models with enterprise solutions. The role involves defining new features, technical leadership, literature reviews, experimentation, efficient implementation on target hardware, and productionizing components. It also includes mentoring and collaborating with clients and research partners, with a focus on applied research and engineering. | ServePost-train | 8 |
| Senior Staff Software Engineer, Automotive AI Senior Staff Software Engineer for Google's AI Automotive team, focusing on building a Gemini-native platform for automotive OEMs to develop, deploy, and maintain intelligent agents for AI-defined vehicles. The role involves designing and developing scalable server-side infrastructure, APIs, and backend systems using C++ and Go, with a strong emphasis on software design, architecture, and engineering excellence. | Agent | 7 |
| Software Engineer III, AI/ML, Sensor Fusion, XR Software Engineer III at Google working on AI/ML for Sensor Fusion in XR devices. The role involves developing foundational visual-inertial fusion for odometry, localization, and mapping, powering AndroidXR devices. Responsibilities include writing product/system development code, collaborating on design and code reviews, triaging issues, and implementing solutions in ML areas, utilizing ML infrastructure, and contributing to model optimization and data processing. | Serve | 7 |
| Software Engineer III, GenAI Safety Software Engineer III, GenAI Safety at Google DeepMind Abuse team. Focuses on designing, building, and scaling account-centric detection systems within the GenAI Safety Platform to protect Generative AI products from misuse. Develops classifiers for policy violations and abusive behavior, integrates with enforcement mechanisms, and analyzes data to improve detection methods. Requires ML/AI experience and software development skills. | AgentEval Gate | 7 |
| Engineer III, AI/ML, Online Calibration, XR Google is seeking an Engineer III, AI/ML for their Online Calibration team within the XR division. This role focuses on developing and implementing AI/ML solutions, utilizing ML infrastructure, and contributing to model optimization and data processing for next-generation XR devices. The engineer will write product/system code, collaborate with peers, triage issues, and implement solutions in specialized ML areas, potentially including speech/audio or reinforcement learning. | Serve | 7 |
| Software Engineer III, ML Pipeline Development, XR Software Engineer III, ML Pipeline Development, XR role focuses on productionizing advanced models and pipelines for on-device and server-based XR applications. Responsibilities include developing algorithms and frameworks for end-to-end pipeline development, optimizing system performance for hardware constraints, and ensuring critical power KPIs are met. Training ML models is not a requirement. | Serve | 7 |
| Software Engineer III, Spatial AI, XR Software Engineer III, Spatial AI, XR role focused on full-stack productionization and technical integration of on-device AI products for XR devices. Responsibilities include object tracking pipelines, API design, platform optimizations, and ensuring AI product quality and performance on target devices. | ServeAgent | 7 |
| Software Engineer III, AI/ML, DSP/HTP Optimisation Software Engineer III at Google, focusing on optimizing ML model performance on specialized hardware (DSP/HTP) to meet strict power and thermal constraints. This role involves hardware-specific optimizations, power profiling, and ensuring ML model efficiency within system architecture. | Serve | 7 |
| Senior Software Engineer, Automotive AI Senior Software Engineer on the Automotive AI team, focusing on building and integrating Gemini enterprise conversational agents into automotive products. This role involves developing AI/ML technologies, LLMs, and NLU infrastructure, with a strong emphasis on large-scale deployment and reasoning capabilities. | Agent | 7 |
