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 |
|---|---|---|
| Research Scientist, AQUA, DeepMind Research Scientist at DeepMind India focused on developing foundational capabilities in Large Models for Artificial General Intelligence (AGI) by advancing autonomous agents through reinforcement learning and ML optimization methods. The role involves designing, implementing, and evaluating models and agents, pushing the boundaries of RL, and collaborating with Responsible AI teams. Requires a PhD, experience with ML frameworks, deep learning, RL, and a publication record. | AgentPost-train | 10 |
| Research Scientist, Robotics, DeepMind Research Scientist at Google DeepMind Robotics focused on building foundation models, specifically vision-language-action (VLA) models, for physical agents to enable robots to perceive, plan, think, use tools, and act. The role involves advancing general-purpose robotics through research in areas like agentic reasoning, real-world understanding, and human-robot interaction, with the goal of deploying these innovations at scale. |
| AgentPost-train |
| 10 |
| 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. The role involves taking ownership of AI quality, implementing and advancing AI techniques, and driving progress through experimentation. It requires a PhD, experience leading research, and applied ML experience, with a focus on enterprise AI solutions and collaboration with model builders. | AgentPost-train | 9 |
| Staff AI Research Scientist, Applied AI, Google Cloud Staff AI Research Scientist role focused on designing, developing, and deploying scalable and agentic AI solutions for enterprise use cases within Google Cloud's Applied AI team. The role involves taking ownership of AI quality for production systems, implementing evaluation frameworks, and advancing AI techniques through experimentation. It requires a PhD, experience with ML algorithms and LLMs, and a publication record, with a focus on applied research and product contribution. | AgentEval Gate | 9 |
| Research Scientist, Memory, Reasoning and Continual Learning, DeepMind Research Scientist at Google DeepMind focused on advancing AI in Memory, Reasoning, and Continual Learning. The role involves initiating novel research, designing and executing experiments on topics like RAG, continual learning, and multi-step reasoning, developing evaluations for complex capabilities, and building infrastructure for advanced AI systems. The position requires a PhD and experience in AI research, with a focus on publishing findings and contributing to the research community. | AgentPost-train | 9 |
| Research Engineer, Frontier Safety Mitigations, DeepMind Research Engineer focused on developing and deploying advanced safety mitigations for frontier AI models, specifically defending against misuse in domains like Cybersecurity and CBRNE. The role involves building classifiers, data pipelines, monitoring systems, and evaluating agentic AI systems, with a strong emphasis on automated red-teaming and adversarial robustness. | AgentEval Gate | 9 |
| Research Engineer, Frontier Safety Mitigations, DeepMind Research Engineer focused on frontier AI safety mitigations, defending against misuse domains like CBRNE and Harmful Manipulation. Responsibilities include building evaluations, red-teaming, deploying in-model and out-of-model mitigations, and monitoring risks for frontier models, particularly agentic AI systems. The role involves developing classifiers, monitoring systems, and advancing research in automated red-teaming and adversarial robustness. | AgentEval Gate | 9 |
| Research Scientist, Frontier Safety Loss of Control, DeepMind Research Scientist role focused on identifying and preventing harms from misaligned AI agents, developing and implementing technical controls, monitoring agent behavior, and conducting adversarial testing. The role involves working with internal product teams to ensure adoption of control systems on high-risk AI surfaces, with a background in frontier AI research and agentic assistance. | Agent | 9 |
| Research Scientist, Robotics, DeepMind Research Scientist at Google DeepMind Robotics focused on building foundation models like vision-language-action (VLA) models for physical agents, enabling robots to perceive, plan, think, use tools, and act. The role involves research into agentic reasoning, real-world understanding, and robot control, with a focus on publishing research and contributing to the AI research community. | AgentPost-train | 9 |
| Research Engineer, Embodied Agents, DeepMind Research Engineer at DeepMind focused on building AI agents that operate in physical environments, advancing physical AGI. The role involves designing learning infrastructure, collaborating with partners for deployment, and building developer tools for robotics capabilities. Key challenges include bridging the gap between simulation and real-world robot performance. | AgentServe | 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 |
| 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 |
| 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, 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 |
| 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 |
| 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 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 |
| 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 |
| 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 |
| 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 |
| Research Scientist, Google Research, AI/ML Research Scientist role focused on utilizing LLMs for real-world tasks including rating scenarios, personalized evaluation, and simulating users to model preferences and behaviors. The role involves understanding academic literature, building and delivering functioning systems to Google products, and contributing to the wider research community through publications. The team's work is delivered in products like Search and Ads. | AgentEval Gate | 9 |
| Research Engineer, Frontier Safety Mitigations, DeepMind Research Engineer focused on building safety mitigations for frontier AI models, defending against misuse in domains like CBRNE and Harmful Manipulation. Responsibilities include building classifiers, data pipelines, monitoring systems, and evaluating/securing agentic AI systems, with a strong emphasis on automated red-teaming and adversarial robustness research. | 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 |
| Research Engineer, Frontier Safety Mitigations, DeepMind Research Engineer focused on building and deploying advanced safety mitigations for frontier AI models, specifically defending against misuse in domains like Cybersecurity and CBRNE. The role involves creating novel evaluations, red-teaming, implementing robust defenses, and monitoring risks, with a strong emphasis on agentic AI systems and adversarial robustness. | AgentEval Gate | 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 aims to prepare for the internal use of potentially misaligned AI systems by building defense-in-depth against AI that might persistently pursue unintended goals. | AgentEval Gate | 9 |
| Staff 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 team. The role involves applying AI/ML to conversational problems, working with Gemini Enterprise products, and contributing to the wider research community through publications. Responsibilities include owning AI quality for production systems, implementing and optimizing AI techniques, and driving progress through experimentation. | AgentPost-train | 9 |
| Senior Research Scientist, App and Ecosystem Trust Research Scientist role focused on Android security and AI agent safety, developing and publishing novel research, designing neuro-symbolic and agent-powered systems for threat detection, and using machine learning for code analysis to combat malware and evasion techniques within the Android ecosystem. | Agent | 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 |
| Staff Research Scientist, App and Ecosystem Trust Research Scientist role focused on protecting Android users from abusive apps by developing and publishing novel research on Android security and AI agent safety. The role involves designing neuro-symbolic and agent-powered systems, and using machine learning for malware detection and evasion technique neutralization. | Agent | 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 |
| Research Data Scientist, Cybersecurity, Google Cloud Research Data Scientist role focused on applying ML, statistics, and Generative AI to cybersecurity problems within Google Cloud. The role involves developing and deploying innovative data-driven solutions, including agentic security operations and LLM tuning, with an emphasis on research and publication. | AgentPost-train | 8 |
| Senior Staff Research Scientist, App and Ecosystem Trust Research Scientist role focused on Android security and AI agent safety, developing novel research and agent-powered systems to detect and prevent various forms of abuse. The role involves analyzing codebases using ML and collaborating with internal and external partners. | Agent | 8 |
| Staff Research Scientist, App and Ecosystem Trust Research Scientist focused on protecting Android users from abusive apps by developing and publishing novel research on Android security and AI agent safety. The role involves designing neuro-symbolic and agent-powered systems, analyzing codebases using machine learning, and collaborating with internal and external partners to improve defenses against evolving threats. | Agent | 8 |
