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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Senior Product Manager, Gemini Internationalization Modeling, DeepMind Product Manager for Gemini Modeling focused on internationalization, bridging research (pre-training, post-training, RL) with consumer needs. Owns roadmap, quality, evaluations, and data requirements for global AI efforts, establishing cross-lingual transfer playbooks and driving model readiness for launches. Works with research and engineering on global AI capabilities, including agentic coding and multimodality. | Post-trainAgent | 9 |
| Forward Deployed Engineer IV, GenAI, Google Cloud Google Cloud is seeking a Forward Deployed Engineer (FDE) to build and deploy bespoke agentic AI solutions for enterprise customers. This role involves coding, debugging, and integrating AI products into customer environments, addressing integration, data readiness, and state-management challenges. The FDE will also act as a feedback loop to Google Cloud's product roadmap and co-build with customer engineering teams to instill best practices. | AgentServe | 9 |
| Pretraining codebase SWE, DeepMind Software Engineer at Google DeepMind focused on the pretraining codebase for a specific model (Cider), involving handover with Apple, IP obfuscation, eval correctness, and integration with Apple's deployment. The role involves writing and testing code, contributing to documentation, and code reviews, with a focus on enabling research and deploying promising ideas. | Pretrain | 9 |
| Staff Research Scientist, AI2 Research Staff Research Scientist role focused on fundamental AI research, including foundation models and agentic solutions, with a strong emphasis on publishing findings and contributing to the wider research community. The role involves defining research strategies, developing new architectures, and potentially bringing innovations to production. | Pretrain | 9 |
| Research Scientist, Stitch Research Scientist focused on advancing LLMs for complex software engineering tasks, specifically in long-horizon reasoning, planning, and tool use. The role involves designing novel agentic architectures, exploring scalable memory/context management, leading research in synthetic data generation and verification for model improvement, and developing high-fidelity evaluation frameworks for agent impact on software quality and developer productivity. | AgentData | 9 |
| Senior Research Scientist, AI2 Research Research Scientist role focused on fundamental AI research, including foundation models and agentic solutions, with a goal of publishing in top venues and impacting production. Requires a PhD and experience leading research agendas, with a strong publication record. | Pretrain | 9 |
| Forward Deployed Engineer III, Generative AI, Google Cloud This role involves deploying and building bespoke agentic AI solutions for enterprise customers on Google Cloud. The engineer will integrate Google's AI products with customer infrastructure, address integration complexities, data readiness, and state management issues. They will also build evaluation pipelines and observability frameworks, and act as a feedback loop to product teams. The role requires strong software development skills, experience with cloud platforms, and building production-grade AI solutions, including RAG and multi-agent systems. | AgentEval Gate | 9 |
| Research Engineer, Gemmaverse Variants Research, DeepMind Research Engineer focused on developing and launching specialized Gemma variants, contributing to core LLM research tools and infrastructure, and enabling external users through documentation and collaboration. | Post-trainServe | 9 |
| Senior Staff Software Engineer, Agent Data Quality, DeepMind Senior Staff Software Engineer focused on Agent Data Quality within DeepMind, responsible for building data processing pipelines, experiment frameworks, and evaluation benchmarks for AI agents. The role involves analyzing agent behavior, identifying failure modes, and providing feedback for GenAI model improvement and product development, with a focus on reasoning, planning, and tool use. | Eval GateAgent | 9 |
| Forward Deployed Engineer II, 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 code, debug, and integrate AI products into customer environments, focusing on agentic workflows, data readiness, and state management. Responsibilities include developing AI applications, architecting connective tissue between AI products and customer infrastructure, building evaluation pipelines, and providing feedback to product teams. The role requires experience with Python, cloud platforms, and building AI systems using RAG and vector databases, with a preference for multi-agent systems experience. | AgentServe | 9 |
| Staff Software Engineer, Gemini Evals, GenAI, DeepMind Staff Software Engineer focused on designing and optimizing distributed evaluation execution engines for AI agents. This role involves building systems for agent testing, developing test problems, creating visualizations, building leaderboards, and testing algorithms on robots. The engineer will also build abstractions for LLM agent loops, tool use, and automated rating systems, and design error classification, retry policies, and observability dashboards to meet SLOs. Collaboration with research scientists and data science teams is key, as is mentoring other engineers and advocating for code quality and system design. | Eval GateAgent | 9 |
| Senior Software Engineer, Applied AI, Commerce Senior Software Engineer to build and evaluate a multimodal Shopping Agent for commerce, leveraging foundational AI models like Gemini and Vertex AI. The role involves defining quality metrics, implementing evaluation pipelines, testing agentic actions, and ensuring seamless integration with other AI platforms, with a focus on 0-to-1 product development. | AgentEval Gate | 9 |
| Research Scientist, Gemini Vision, DeepMind Research Scientist at Google DeepMind focused on Gemini Vision, conducting original research in multimodal AI, including VLMs, image understanding, OCR, spatial reasoning, embodied perception, image-text alignment, agentic multimodal systems, scaling laws, and data infrastructure. The role involves designing, training, and evaluating large-scale transformer models, developing novel methods for pretraining, instruction tuning, alignment, and reinforcement learning, and collaborating to transition research into production. The position also involves contributing to research direction and scientific strategy. | PretrainAgent | 9 |
| Managing Director, Head of Americas AI Blackbelts Managing Director to lead Google Cloud's AI Blackbelt team in the Americas, focusing on bridging frontier AI research with enterprise production reality for strategic customers. This role involves leading a global team, acting as an executive advisor, and driving the incubation and market validation of next-generation AI platforms and capabilities. | ShipPretrain | 9 |
| Director, Research Commercialization (AI Blackbelts) Lead a global team of AI researchers and engineers to commercialize Google's frontier scientific AI models (e.g., AlphaFold, genomics LLMs) for life sciences and healthcare customers, focusing on co-engineering solutions for drug discovery and scientific modeling. | Post-trainPretrain | 9 |
| AI Cybersecurity Team Lead, DeepMind Lead an AI cybersecurity team focused on preventing malicious misuse of AI models and enhancing AI's cyber defense capabilities. This involves overseeing defense strategies across the technical stack, translating research into production deployments, and understanding the AI research to product integration pipeline. The role also involves publishing influential work and contributing to flagship products like Gemini. | Post-trainServe | 9 |
| Research Scientist/Engineer, Autonomous Security, DeepMind Research Scientist/Engineer at Google DeepMind focused on building AI agents for autonomous security operations. The role involves designing training pipelines, reward functions, and evaluation benchmarks for realistic security scenarios, and deploying these systems. Responsibilities include fine-tuning foundation models, designing reward functions, building RL environments, and architecting evaluation harnesses for offensive and defensive security tasks. The role requires a PhD and experience in ML, cybersecurity, and software engineering, with a focus on autonomous agent systems. | AgentPost-train | 9 |
| Senior Software Engineer, Applied AI Commerce Senior Software Engineer to build and evaluate a multimodal Shopping Agent, embedding intelligence into retail infrastructure. This role involves defining quality metrics, designing evaluation pipelines, collaborating with model builders, and ensuring seamless integration with other AI platforms, focusing on a 0-to-1 product launch. | AgentEval Gate | 9 |
| Staff Software Engineer, Machine Learning, GeminiApp Personalization, DeepMind Staff Software Engineer focused on building Google's next-generation AI assistant, a personal AI that continuously absorbs, organizes, and recalls user context to amplify their thinking. Responsibilities include designing and building features for the Gemini App stack, analyzing user feedback and logs, developing evaluation techniques for safety and quality, owning model output safety, and contributing to a data flywheel. The role involves working with cutting-edge AI agents, creating systems for agent testing, developing test problems, visualizing results, building leaderboards, and testing algorithms on robots. | AgentEval Gate | 9 |
| Research Engineer, Security and Privacy, DeepMind Research Engineer at Google DeepMind focused on evaluating agentic capabilities of AI models. The role involves building pipelines and tools for automated red-teaming to identify vulnerabilities and failure modes, collaborating with post-training teams to improve models, and generalizing solutions into reusable libraries. Emphasis on measuring and shaping model behavior through rigorous evaluation, with a goal of improving safety and robustness. | Eval GatePost-train | 9 |
| Staff Software Engineer, Generative AI, Search Developer Tools Staff Software Engineer focused on Generative AI for Search Developer Tools, specifically leveraging agentic development to improve product velocity for AI Overviews and AI Mode. The role involves leading the architecture, design, and development of scalable agentic solutions, improving human-AI collaboration, and integrating tools and skills within the Google ecosystem. | Agent | 9 |
| Staff Software Engineer, AI/ML GenAI, Google Cloud Applications AI Staff Software Engineer role at Google Cloud AI Research focusing 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 LLMs, Multi-Modal, and Large Vision Models. Experience with ML design, infrastructure, and GenAI techniques is required. | ServePost-train | 9 |
| Staff Software Engineer, Machine Learning, Google Chat Staff Software Engineer, Machine Learning for Google Chat, focusing on building and scaling AI infrastructure for enterprise collaboration. The role involves architecting agents, developing GenAI capabilities like RAG and personalized assistants, and optimizing inference costs. Key responsibilities include leading AI-scaled evaluation loops, owning the RAG roadmap, automating NLU bug resolution, and optimizing the AI stack for performance and cost efficiency, with a strong emphasis on bridging AI research and production systems. | AgentServe | 9 |
| AI Research Scientist, Applied AI, Google Cloud Research Scientist role focused on designing, developing, and deploying agentic AI solutions for enterprise use cases within Google Cloud's Applied AI division, specifically powering business growth with Gemini Enterprise. The role involves taking ownership of AI quality for production systems, implementing and optimizing AI techniques, and driving progress through experimentation. Collaboration with model builders and contribution to the research community through publications are also key aspects. | AgentEval Gate | 9 |
| Senior Software Engineer, Generative AI, Safety Classifiers, Agentic Systems, Google Ads The Actor Safety Foundational Modeling (ASFM) team is looking for a Senior Software Engineer to build core ML models and infrastructure for detecting and preventing abusive behavior in Google Ads. This role involves developing AI/ML models, leveraging LLMs and agent infrastructures, building and deploying AI agents for investigation and threat hunting, and creating scalable infrastructure for safety operations. The position emphasizes innovation and rapid deployment of generative AI solutions to stay ahead of adversarial tactics. | AgentServe | 9 |
| Senior Staff Software Engineer, Applied AI Senior Staff Software Engineer role focused on designing, developing, and deploying large-scale AI solutions, with a specific emphasis on language models and agentic systems. The role involves technical leadership, ML infrastructure optimization, and applying the latest AI technologies to create impactful products. Requires extensive experience in software development, ML design, and industry ML infrastructure. | AgentServe | 9 |
| Research Scientist, Gemini Retrieval and Agera, DeepMind Research Scientist at Google DeepMind focused on advancing Gemini's capabilities in autonomous knowledge acquisition, reasoning, and retrieval. The role involves designing modeling innovations, improving retrieval architectures, building self-improving models, and collaborating with product teams to scale research into production. Emphasis on next-generation retrieval, multimodal representations, and autonomous reflection/self-improvement. | AgentData | 9 |
| Staff Software Engineer, YouTube Ads, Agentic Video Staff Software Engineer role focused on leading the technical strategy, architecture, and delivery of a new agentic video creation application for YouTube Ads. The role involves developing multi-modal agentic systems using Generative AI to produce high-fidelity video creatives at scale, adapting frontier AI capabilities to the Ads domain, and designing scalable APIs and microservices. This position bridges frontier AI with business impact and requires experience in leading applied AI/ML products and shipping AI applications. | AgentShip | 9 |
| Staff Software Engineer, GeminiApp Personalization, DeepMind Staff Software Engineer at Google DeepMind on the Gemini App Personalization team, focused on building a next-generation AI assistant that deeply personalizes products for users. The role involves designing and building scalable features for capturing, organizing, and surfacing personal context, performing data analysis, developing evaluation techniques for contextual recall, owning model output quality, and contributing to a data flywheel. The position requires significant software development experience, particularly with big data, ML, LLMs, and data analysis, with a focus on creating a seamless cognitive extension for users. | AgentEval Gate | 9 |
| Staff Software Engineer, Applied Research, Foundation User Models Staff Software Engineer, Applied Research, Foundation User Models at Google. This role focuses on defining and executing the applied research roadmap for Large User Models, translating business goals into technical formulations, optimizing model performance with adaptation techniques, driving architectural improvements by influencing pre-training teams, and productionizing fine-tuning pipelines for recommendation engines. The role requires experience with Transformer-based models and ML design, with a focus on balancing quality output with strict inference latency requirements. | Post-trainServe | 9 |
| Research Scientist, Evaluations, Security and Privacy, DeepMind Research Scientist focused on security and privacy for AI models and agentic products, specifically Gemini. The role involves designing and evaluating novel defense mechanisms against adversarial attacks and prompt injections, translating research into practical solutions for training and inference pipelines, and collaborating with core modeling and engineering teams. The position requires a PhD and experience in ML research, benchmarking, and security, with a focus on next-generation security techniques for autonomous AI systems. | Eval GateAgent | 9 |
| Staff Software Engineer, User AI Flywheel, Search Intelligence Staff Software Engineer focused on the User AI Flywheel for Google Search, aiming to enhance LLM performance, quality, and capabilities through user signals and advanced modeling techniques. The role involves innovating on LLM improvements, partnering with research teams, and integrating LLM technologies into products. Responsibilities include advocating for modeling/tuning/optimization, designing user signal-driven improvements, collaborating with research, and demonstrating expertise in system design, ML modeling, and coding for LLMs. The role requires experience in software development, ML design, ML infrastructure optimization, and GenAI techniques, with preferred experience in RLHF, fine-tuning, and ML systems production. | Post-trainServe | 9 |
| Staff Datacloud Blackbelt Engineer, Data and AI Staff Datacloud Blackbelt Engineer role focused on building and deploying sophisticated Data and AI agents and solutions for enterprise customers, leveraging Google's AI technologies. The role involves architecting, optimizing inference latency, and transforming bespoke solutions into reusable assets, acting as a technical lead and mentor. | AgentServe | 9 |
| Forward Deployed Engineer, Generative AI, Telecommunications, Google Cloud Forward Deployed Engineer (FDE) role focused on building and deploying generative AI agentic solutions for Google Cloud customers in the telecommunications sector. This role involves coding, debugging, and integrating AI products into customer environments, managing integration complexities, and providing feedback to product teams. It requires a blend of engineering, customer engagement, and problem-solving skills to deliver bespoke AI applications and reusable assets. | AgentServe | 9 |
| Staff Software Engineer, AI/ML, Search Ads Staff Software Engineer focused on leveraging AI/ML, including LLMs and Agentic AI, to enhance search ads experiences, optimize ad performance, and build AI-first systems. The role involves designing, developing, and deploying AI/ML models and evaluation methods for data quality assessment within the Google Ads product. | ShipAgent | 9 |
| 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 for customers, owning the end-to-end engineering lifecycle. Responsibilities include architecting and coding conversational flows, building evaluation pipelines and observability frameworks for agentic workloads, and ensuring best practices for customer projects. Requires experience with AI systems on cloud platforms, deploying conversational agents, and full-stack application development interacting with enterprise IT. | AgentServe | 9 |
| Research Engineer, Pretraining, DeepMind Research Engineer focused on inference-optimized model design for Gemini pretraining, working across the LLM preparation stack (pretraining, fine tuning, serving) and understanding JAX/TPU execution. Requires 5 years of experience in inference-optimized model design and experience with product teams. | PretrainServe | 9 |
| Forward Deployed Engineer, Core, DevAI Google is seeking a Forward Deployed Engineer for the DevAI team to accelerate its transformation into an AI-native company. This role involves partnering with Product Areas to build and elevate AI capabilities, focusing on the technical foundation of Google's flagship products. The engineer will lead the design and implementation of autonomous, agentic workflows, deliver production-grade agent components, and re-engineer isolated solutions into scalable capabilities. | AgentServe | 9 |
| Research Scientist, Algo Spark Research Scientist role focused on developing new algorithms in AI for mathematics and theoretical research, with a focus on privacy and machine learning, and translating these insights into Google products. The role involves publishing research in top conferences. | Pretrain | 9 |