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 |
|---|---|---|
| Software Engineer, Foundational ML Research This role focuses on foundational ML research, prototyping algorithmic approaches, and designing/implementing solutions in specialized ML areas. It involves large-scale model training and applying research to post-training generative models. | PretrainPost-train | 9 |
| Research Engineer, Multi Agent Learning, DeepMind Research Engineer at Google DeepMind focused on developing novel multi-agent learning algorithms and frameworks. The role involves building and maintaining large-scale simulation platforms and research pipelines on cutting-edge infrastructure, partnering with Research Scientists to translate research into production-quality code, and optimizing the research workflow. Requires experience in deep learning frameworks, Python/C++, and distributed training on accelerators. A PhD in ML, RL, or Multi-Agent Systems and experience with language models are preferred. |
| AgentPost-train |
| 9 |
| Applied AI Engineer, Audio, XR Applied AI Engineer focused on audio for Pixel devices, bridging research and deployment in hardware-constrained environments. Responsibilities include applied research in audio ML, developing novel models for speech recognition, TTS, and enhancement, and architecting ML systems for on-device and cloud platforms. | Post-trainServe | 9 |
| Senior Staff Technical Program Manager, AI Innovation and Research The Technical Program Manager will drive the strategy and execution of AI agent initiatives aimed at transforming the software development lifecycle, including democratizing app creation and building a virtual software engineering workforce. This role involves leading complex, cross-functional programs from 0-to-1, bridging foundational models with product applications, and ensuring safety and compliance. | Agent | 9 |
| Research Engineer, Pretraining, DeepMind Research Engineer at Google DeepMind focused on inference-optimized model design for Gemini pretraining. The role involves working across the LLM preparation stack (pretraining, fine-tuning, serving) and understanding XLA primitives and JAX on TPUs. Requires a Bachelor's degree and 5 years of experience in inference-optimized model design, with a preference for applied research experience in large transformer models and fine-tuning. | PretrainPost-train | 9 |
| Senior Research Engineer, On-Device Inference, Robotics, DeepMind Senior Research Engineer focused on optimizing Gemini Robotics models for low-latency on-device inference, driving alignment between model and hardware architectures, and influencing future model designs for resource-constrained environments. | ServeAgent | 9 |
| Research Engineer, Frontier Safety Loss of Control, DeepMind Research Engineer focused on developing monitoring and control systems for potentially misaligned AI agents to mitigate risks of extreme harms. This involves designing, building, and testing monitors, implementing response policies, and conducting adversarial testing. The role emphasizes preparing for the internal use of advanced AI systems and ensuring safety and ethics. | AgentEval Gate | 9 |
| Senior Software Engineer Senior Software Engineer at Google DeepMind focused on building and enhancing serving solutions for Gemini models, developing new infrastructure for advanced capabilities like multimodal understanding, and ensuring model quality in production. The role involves collaboration, driving technical vision, and working with large-scale production systems and machine learning specialization. | ServeAgent | 9 |
| Senior Research Engineer This role focuses on applying AI research to real-world problems, involving prototyping, dataset curation, and deploying optimized ML systems. The Senior Research Engineer will architect and implement scalable software libraries and code in Python or C++, drive long-term research projects, and train/evaluate deep neural models and reinforcement learning algorithms. The role emphasizes influencing engineering best practices and communicating research developments. | Post-trainServe | 9 |
| Research Engineer Research Engineer at Google DeepMind focused on applying advanced ML models and research to solve real-world problems. Responsibilities include rapid prototyping, experimental design, developing scalable code, training and evaluating ML models and agents, and collaborating with research scientists and engineers. Requires a Master's degree and 2 years of experience in ML algorithm design, statistical analysis, Python/C++, and ML frameworks like TensorFlow or JAX. | Post-trainAgent | 9 |
| Senior Software Engineer Senior Software Engineer at Google DeepMind focused on building and improving agentic AI features using Gemini models. The role involves developing quantitative evaluations of agent performance, triaging production issues, and contributing to the technical vision and roadmap. Requires a PhD in a related field and experience in software development, algorithm design, systems architecture, Python for ML, and software testing. | AgentEval Gate | 9 |
| Senior Software Engineer Senior Software Engineer role focused on building and enhancing serving solutions for Gemini models, developing new infrastructure for advanced capabilities like large-scale streaming and audio logic, and ensuring the quality of models in production. The role involves collaborating with peers, driving technical vision, and requires experience in C++, algorithm design, debugging ML systems, and productionizing LLMs/multimodal models. | ServeAgent | 9 |
| Senior Research Engineer Google DeepMind is seeking a Senior Research Engineer to apply AI research to high-impact problems, prototype, curate datasets, and deploy optimized ML systems. The role involves architecting and implementing scalable software libraries, driving long-term research projects, and training/evaluating deep neural models and RL algorithms. Requires a PhD or Master's degree with significant experience in ML theory, frameworks like Tensorflow/JAX/PyTorch, and leading research agendas. | Post-trainServe | 9 |
| Senior Technical Program Manager Lead, Gemini Audio, DeepMind Senior Technical Program Manager Lead for Gemini Audio at Google DeepMind, focusing on end-to-end model quality across the AI lifecycle. The role involves collaborating with researchers, data scientists, and serving/deployment teams to manage model training priorities, design and execute evaluations, and oversee the entire release cycle for foundational audio models. This includes checkpoint uploads, documentation, deployment coordination, capacity planning, and cross-functional testing, with a strong emphasis on applying deep AI evaluation methodologies and driving strategic outlook with high agency. | Eval GatePost-train | 9 |
| Gemini Audio Research Scientist, DeepMind Research Scientist focused on advancing audio capabilities, particularly speech translation, by improving model quality for understanding and generation, exploring RL algorithms, and developing better evaluation methods. The role involves working with audio and visual representations and interactions, and contributing to the wider AI/ML community through publications. | Post-trainAgent | 9 |
| Staff Software Engineer, AAI Research Research role focused on building and improving next-generation AI agents for Google Cloud customers, involving dataset creation, agent design, metric definition, and quality iteration. | AgentData | 9 |
| Research Scientist, Visual Data and Generative Research Research Scientist focused on visual data and generative models, involving data acquisition, fine-tuning foundation models for synthetic data generation, and developing automated pipelines for labeling and evaluation datasets. The role emphasizes research in computer vision and machine learning, with a goal of improving generative media and training next-generation architectures. | DataPost-train | 9 |
| Partner Forward Deployed Engineer IV, GenAI, Google Cloud The role involves building and deploying production-grade agentic AI solutions with strategic partners on Google Cloud. It focuses on integrating AI into customer environments, addressing production blockers, and providing feedback to Google's product roadmap. The engineer will also build evaluation pipelines and observability frameworks, and mentor partner teams. | AgentEval Gate | 9 |
| Forward Deployed Engineer III, GenAI Google Cloud GenAI Forward Deployed Engineer (FDE) role focused on building and deploying production-grade agentic AI solutions within customer environments. The role involves coding, debugging, integrating AI products with customer infrastructure, and building evaluation/observability pipelines. It also acts as a feedback loop to Google's product roadmap. | AgentServe | 9 |
| Partner Forward Deployed Engineer IV, Generative AI, Google Cloud This role involves building and deploying agentic AI solutions for enterprise partners on Google Cloud. The engineer will bridge the gap between AI prototypes and production, focusing on integration, data readiness, and state management. Responsibilities include leading development, building evaluation pipelines, identifying patterns for product feedback, and instilling best practices. The role requires experience with AI system architecture, cloud platforms, data pipelines (vector databases, RAG), and taking AI solutions from conception to launch. | AgentEval Gate | 9 |
| Research Scientist, Manipulation for Robotics, DeepMind Research Scientist role focused on pioneering AI integration into robotics for physical agents, enabling robots to perceive, plan, think, use tools, and act. The role involves developing and training large foundation models for general-purpose dexterous manipulation tasks, aiming for human-level performance on real-world applications using frontier robotics models. This includes working with simulators, real robots, and various AI techniques like reinforcement learning and vision-language-action models. | AgentData | 9 |
| Software Engineer III, Multimodal Agentic AI, XR This role focuses on designing, developing, and deploying multimodal agentic AI solutions for smart glasses, leveraging Gemini Live and Astra. It involves enhancing multimodal tools, defining strategies for data, evaluation, and post-tuning of Gemini models, and optimizing agent architecture for inference cost. The role emphasizes AI quality for production systems, including evaluation frameworks and model improvements, with a focus on multimodal conversational quality, tool use, and goal-oriented reasoning. | AgentPost-train | 9 |
| Forward Deployed Engineering Manager III, GenAI, Google Cloud Manager of a Generative AI Forward Deployed Engineering (FDE) team, leading AI/ML engineers to deploy bespoke agentic solutions within customer environments. Responsibilities include technical mentorship, hiring, identifying skill gaps, and collaborating with product/engineering. Focus on enterprise-grade AI maturity, leveraging Google Cloud's AI portfolio and Vertex AI platform. | AgentServe | 9 |
| Senior Staff Research Scientist, Gemini Safety Post-Training, DeepMind Senior Staff Research Scientist focused on rethinking and developing safety post-training methods for agentic AI systems, particularly for Gemini models. The role involves designing and shipping post-training recipes (RL, SFT), building evaluation metrics, and translating research into production. | Post-trainAgent | 9 |
| Partner Forward Deployed Engineer, Generative AI, Google Cloud (Japanese, English) Google Cloud is seeking a Partner Forward Deployed Engineer (FDE) specializing in Generative AI. This role involves embedding with strategic partners to build, debug, and ship bespoke, scalable agentic AI solutions directly within customer environments. The FDE will address production blockers, integration complexities, data readiness, and state-management challenges, aiming to bring AI to enterprise-grade maturity. Responsibilities include developing complex AI applications, building evaluation pipelines and observability frameworks, identifying patterns for product feature requests, and helping partners build their own agentic delivery capabilities. The role requires strong technical skills in cloud computing, AI systems architecture, data pipelines (vector databases, RAG), and communication in both Japanese and English. | AgentEval Gate | 9 |
| Research Scientist, Robotics, Embodied AI, DeepMind Research Scientist role focused on developing Vision Language Action (VLA) models and agentic systems for physical robots, enabling them to perceive, plan, think, use tools, and act in real-world environments. The role involves training embodied reasoning VLMs, working with simulators and real robots, and advancing areas like general-purpose robotics, human-robot interaction, and continual learning. | AgentPost-train | 9 |
| Staff Engineer, TPU Co-Design Staff Engineer focused on co-designing TPU hardware for AI/ML applications, bridging model architecture innovation with next-generation hardware design. Responsibilities include optimizing the hardware/software stack for ML model training and serving, developing simulators, and conducting system-level performance analysis. | ServePost-train | 9 |
| Senior Staff Engineer, TPU Co-Design Senior Staff Engineer focused on co-designing TPU hardware for AI/ML training and serving. The role involves defining the hardware/software roadmap, bridging AI research with hardware design, and optimizing performance for large ML models. This position operates at the intersection of AI research and infrastructure engineering, aiming to deliver high-performance, power-efficient accelerators. | ServePretrain | 9 |
| Forward Deployed Engineer IV, Generative AI, Google Cloud Forward Deployed Engineer (FDE) at Google Cloud, embedding with customers to build and ship bespoke agentic AI solutions. This role involves coding, debugging, integrating AI products with customer infrastructure, and providing feedback to product teams. Focuses on production-grade agentic workflows, evaluation pipelines, and observability. | AgentServe | 9 |
| Research Scientist, Google Research, GenAI, Experiences Research Scientist role focused on designing, implementing, and evaluating advanced ML models, with a focus on human preferences and behavior. The role involves architecting systems for model training and serving, performing statistical analyses, publishing research, and collaborating to integrate ML models into products. Requires a PhD and experience in ML, NLP, or computer vision, with a publication record. | Post-trainServe | 9 |
| Staff Software Engineer, Generative AI Staff Software Engineer focused on bringing the performance of LiteRT-LM to agentic systems, building infrastructure for local LLMs, and enabling their use in first-party and third-party products. This involves full-stack development, API servers, agent harnesses, integration tests, and evals for a production-ready local LLM solution. | AgentServe | 9 |
| Senior Staff Software Engineer, Agentic Data Tooling, DeepMind Senior Staff Software Engineer focused on building agentic data tooling for Gemini, including evaluation frameworks (SmithBench, RE-Bench), data collection pipelines for agent interactions, and human-in-the-loop annotation systems to accelerate AI capabilities and agent development. | Eval GateAgent | 9 |
| Partner Forward Deployed Engineer, Generative AI, Google Cloud Google Cloud is seeking a Forward Deployed Engineer to build and deploy generative AI agentic solutions for enterprise customers. This role involves coding, debugging, integrating AI products with customer infrastructure, and providing feedback to product teams. The engineer will also build evaluation pipelines and observability frameworks. | AgentEval Gate | 9 |
| Staff AI Research Engineer, Large User Models Staff AI Research Engineer focused on architecting the strategy and roadmap for foundation recommender model pre-training. This role involves owning the research agenda, defining and prioritizing experiments, and partnering with data, ML infrastructure, and engagement teams to shape roadmaps, define training framework requirements, and establish evaluation benchmarks. | PretrainEval Gate | 9 |
| Machine Learning Hardware Architect, Hardware, Software Co-Design, Google Cloud This role focuses on architecting and defining the roadmap for AI/ML hardware acceleration, specifically TPUs, for Google Cloud. It involves co-design between model architecture and next-generation hardware, optimizing for ML serving and training capabilities, and integrating large-scale foundation models with advanced silicon architectures. The role requires defining technical roadmaps, architecting simulation frameworks, guiding system-level performance analysis, and managing cross-functional partnerships across hardware, compiler, and ML teams. | ServePost-train | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud Google Cloud is seeking a Forward Deployed Engineer (FDE) to build and deploy generative AI agentic solutions within customer environments. This role involves coding, debugging, and integrating AI products with customer infrastructure, addressing data readiness and state management challenges. The FDE will also build evaluation pipelines and observability frameworks, and provide feedback to Google's product roadmap. The role requires strong software development skills, experience with AI systems on cloud platforms, and familiarity with RAG and vector databases. | AgentServe | 9 |
| Staff Software Engineer, AI/ML Performance Staff Software Engineer focused on optimizing AI/ML training and serving workloads on TPUs. The role involves identifying performance opportunities, driving optimizations through custom kernels, compiler/runtime improvements, and algorithmic innovation. It also includes co-designing TPU-friendly models and working with frontier lab hyperscalers and foundation model builders. | ServePost-train | 9 |
| Senior Staff Software Engineer, AI/ML, Applied AI Senior Staff Software Engineer role focused on building the core logic for multimodal customer support agents that execute complex reasoning, developing automated systems for agent refinement, and architecting pathways to embed AI intelligence into client-facing cloud infrastructure. The role also involves establishing engineering benchmarks for optimization and partnering with clients to deploy customizable agent solutions. | Agent | 9 |
| Research Scientist, Efficient AI Research Scientist focused on developing resource-efficient AI architectures, training/inference recipes, and model compression techniques to make ML models faster and smaller, enabling efficient deployment on Google's infrastructure. The role involves independent research, translating ideas to experiments, and contributing to the research community through publications. | ServePost-train | 9 |
| Forward Deployed Developer III, Generative AI, Google Cloud Forward Deployed Developer for Generative AI on Google Cloud, focused on building and shipping bespoke agentic solutions within customer environments. This role bridges frontier AI products with production reality, addressing integration, data readiness, and state-management challenges. It involves coding, debugging, and deploying complex AI applications, architecting connective tissue between AI products and customer infrastructure, building evaluation pipelines and observability frameworks, and identifying product feature requests based on field insights. | AgentEval Gate | 9 |
| Research Scientist, Frontier Health, DeepMind Research Scientist at Google DeepMind's Frontier Health team focused on building agentic, multimodal AI systems for healthcare. The role involves developing novel methods at the intersection of LLMs, RL, and clinical medicine, with a focus on publications and real-world product impact. Responsibilities include developing RL pipelines, building evaluation frameworks, conducting experiments, and designing techniques for medical AI, including agentic clinical reasoning, tool use, and multimodal understanding. | AgentPost-train | 9 |
| Research Engineer, Agentic Security & Privacy Post-Training for Gemini, DeepMind Research Engineer focused on post-training Gemini models for security and privacy, specifically for agentic capabilities like coding and personal assistants. The role involves building training data and techniques to enhance security and privacy without sacrificing model capabilities, and collaborating on adversarial evaluation and guardrails. | Post-trainAgent | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud Forward Deployed Engineer for Google Cloud's Generative AI team, focused on taking frontier AI products and making them production-grade for enterprise customers. This involves solving integration complexities, data readiness, and state management for agentic workflows, and acting as a feedback loop to product teams. | AgentServe | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud (Korean, English) This role focuses on deploying and building generative AI solutions, specifically agentic systems, within customer environments on Google Cloud. The engineer will bridge the gap between frontier AI products and production reality, coding, debugging, and shipping bespoke solutions. Responsibilities include architecting integration, building evaluation pipelines, and providing feedback to product teams. The role requires experience with Python, cloud platforms, RAG, vector databases, and ideally multi-agent systems. | AgentServe | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud This role involves building and deploying production-grade generative AI agentic solutions for enterprise customers on Google Cloud. The engineer will integrate AI products with customer infrastructure, develop evaluation pipelines, and act as a feedback loop for product development. | AgentEval Gate | 9 |
| Forward Deployed Engineer, Generative AI, Google Cloud Forward Deployed Engineer for Generative AI on Google Cloud, focused on building and shipping bespoke agentic solutions within customer environments. This role involves coding, debugging, integrating AI products with customer infrastructure, and developing evaluation pipelines. It acts as a bridge between frontier AI and production reality, with a feedback loop to product roadmaps. | AgentEval Gate | 9 |
| Product Manager, New Product Incubations, Frontier AI, DeepMind Product Manager at Google DeepMind responsible for shipping AI research breakthroughs into Google’s AI models and products. This role involves running internal impact acceleration programs with dedicated engineers to convert research ideas into demos, prototypes, new platforms, products, and features. The position requires deep technical depth and strong product outlook, focusing on accelerating the productization of AI research for billions of users. | Ship | 9 |
| Staff Forward Deployed Developer, Generative AI, Google Cloud Staff Forward Deployed Developer, Generative AI, Google Cloud in Toronto, ON, Canada. This role involves embedding as a developer to build and ship bespoke agentic AI solutions within customer environments, bridging frontier AI products with production realities. Responsibilities include coding, debugging, addressing integration and data challenges, building evaluation pipelines, and providing feedback to product roadmaps. The role requires experience with cloud computing, customer-facing technical roles, data pipelines, vector databases, RAG, and architecting AI systems on cloud platforms. Experience with multi-agent systems and LLM-native metrics is preferred. | AgentServe | 9 |
| Forward Deployed Development Manager, Generative AI, Google Cloud Lead a team of AI/ML developers to deploy bespoke agentic solutions for enterprise customers on Google Cloud, providing technical mentorship, resolving production obstacles, and driving AI adoption. Responsibilities include establishing best practices, technical hiring, identifying skill gaps, and collaborating with product teams. | Agent | 9 |
| Forward Deployed Engineer IV, Generative AI, Google Cloud (English, Portuguese) This role involves building and deploying production-grade agentic AI solutions for enterprise customers on Google Cloud. The engineer will act as an embedded builder, addressing integration, data, and state management challenges, and providing feedback to product teams. Responsibilities include developing agentic workflows, architecting integrations, building evaluation pipelines, and identifying product improvements. | AgentServe | 9 |