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/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 |
| 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 |
| Research Engineer, Responsibility Engineering, DeepMind Research Engineer at Google DeepMind focused on AI safety, developing post-training strategies to mitigate adversarial risks and building evaluation infrastructure for frontier language models. The role involves prototyping scalable engineering solutions, optimizing training and inference pipelines, and collaborating with research scientists to translate safety research into implementations. | Post-trainServe | 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 |
| Staff Research Scientist, ML Efficiency, Google Research Research Scientist focused on improving the computational efficiency of large-scale generative AI models (LLMs, Diffusion Models, Generative Videos) through advanced algorithms, model compression, quantization, and optimization of training and inference pipelines. Collaborates with hardware and software teams to optimize kernels and inference engines. | ServePost-train | 9 |
| Research Scientist, ML Efficiency, Google Research Research Scientist focused on improving the computational efficiency of large-scale Generative AI Models (LLMs, Diffusion Models, Generative Videos) through algorithmic research, model compression, and inference acceleration. The role involves advancing algorithms for serving and inference, innovating training architectures, optimizing deployment pipelines, and collaborating with hardware/software teams. A PhD and publication record are required. | ServePost-train | 9 |
| Senior Research Scientist, ML Efficiency, Google Research Research Scientist focused on improving the computational efficiency of generative AI models (LLMs, Diffusion Models, Generative Videos) through foundational research in algorithmic efficiency, model compression, and inference acceleration. This role involves innovating algorithms, optimizing model architectures, improving the deployment pipeline (pretraining, tuning, RL), and collaborating with hardware/software teams to optimize inference engines and reduce latency/memory usage. | ServePost-train | 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 |
| Research Software Engineer, Generative AI Research Software Engineer focused on developing foundational models and core technologies for synthesizing reality, particularly human body, face, and related components, to power machine learning, build better products, and enable next-generation user experiences, with applications in AR and XR devices. The role involves developing algorithms for 3D body shape estimation, rigging, skinning, and physics-based generative animation conditioned on multimodal inputs, with a requirement for publication in AI conferences. | Post-trainServe | 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 |
| 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 |
| Research Scientist, Visual Data and Generative Research Research Scientist focused on visual data and generative models, specifically for creating high-quality synthetic training data for foundation models. This involves designing data acquisition strategies, optimizing hardware, implementing fine-tuning methods, developing automated labeling pipelines, and creating evaluation datasets for visual quality issues. | DataPost-train | 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 |
| Visiting Faculty Researcher, AI Personalization Visiting Faculty Researcher at Google focusing on AI Personalization. The role involves proposing novel ideas for models that learn continuously from user interactions, adapt with minimal data, and deploy efficiently on personal devices. This research position emphasizes contributing to the academic community through publications and collaborating on research proposals, while also influencing product development with potential applications in generative AI, prompt engineering, and personalization. | Post-trainAgent | 9 |
| Research Engineer, Gemini Latent Thinking, DeepMind Research Engineer at Google DeepMind focused on architecting, scaling, and landing latent thinking in Large Language Models (LLMs) and reasoning. The role involves developing novel algorithms, formulating research hypotheses, designing and implementing ML experiments, and partnering with teams to integrate scientific breakthroughs into frontier models. Experience in LLM training (pre-training or post-training) and publishing research is preferred. | PretrainPost-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 Scientist, Language, DeepMind Research Scientist at Google DeepMind focusing on groundbreaking research in language technology, particularly multilingual and multicultural ability. The role involves solving new problems, improving existing models, developing technical solutions, and communicating research findings. Requires a PhD in NLP/ML or equivalent, Python, neural network training experience, and publication submissions. Preferred experience includes LLM pretraining, post-training, inference with multilingual data, and novel evaluations. | PretrainPost-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 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 |
| Research Software Engineer, Google Research Research Software Engineer at Google Research focused on pioneering AI research in Singapore, specifically on developing performant, efficient, and capable generative AI models. The role involves abstracting problems, designing solutions, prototyping, profiling, benchmarking, and collaborating with global research and product teams. | Pretrain | 9 |
| Audio Algorithm Architect, Applied Research Applied Research role focused on foundational audio algorithms for Pixel and Buds, specifically Superhuman Hearing and Open Ear ANC. The role involves exploratory, non-timeline-based research in a high-velocity, startup-style team, aiming for massive user differentiation and defining agentic audio experiences. | Post-train | 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 for model quality under compute constraints, and partnering with data, ML infrastructure, and engagement teams to shape roadmaps, define training framework requirements, and establish evaluation benchmarks. | PretrainPost-train | 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, Google Cloud AI Research Research Scientist role focused on fundamental AI research, developing new products, and contributing to the research community. The role involves defining research strategies, designing experiments, and publishing findings, with a focus on machine learning and deep learning. | Pretrain | 9 |
| Staff Research Scientist, Google Ads GenAI Research Scientist role focused on adapting Gemini models for Google Ads using prompt engineering, fine-tuning, and reinforcement learning. The role involves developing novel ML modeling techniques, working with LLMs for targeting and retrieval, collaborating with DeepMind and Search teams, and publishing research findings. | Post-trainAgent | 9 |
| Post-Doctoral Researcher, PhD, 2026 Start (Fixed-Term Contract) Post-doctoral researcher role focused on fundamental research and applied problems in AI/ML, with opportunities to contribute to products and services. The role involves formulating research projects, conducting research, publishing high-quality work, designing and executing large-scale experiments, and writing production-ready code using frameworks like JAX. Requires a PhD in a STEM field and research experience in ML/AI, with publications in top-tier AI conferences. | Pretrain | 9 |
| Staff Research Scientist, Google Cloud AI Research Staff Research Scientist at Google Cloud AI Research focusing on fundamental AI research, pushing the state-of-the-art, and collaborating with product teams to bring innovations to market. The role involves authoring research papers, defining research strategies, and contributing to the wider research community. | Pretrain | 9 |
| Senior Staff Research Scientist, Google Cloud AI Research Senior Staff Research Scientist at Google Cloud AI Research focusing on fundamental research, new product innovation, and infrastructure goals within AI and Infrastructure. The role involves setting up large-scale tests, deploying ideas, managing deadlines, and applying theories to develop new products and technologies. It also includes contributing to the research community through publications and collaborations. The team works on hyperscale computing, AI models, and infrastructure at a global scale, contributing to products like Vertex AI. Responsibilities include authoring research papers, contributing to research growth, delivering full projects, identifying new research areas, and engaging stakeholders to address undefined problems. | Pretrain | 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 Scientist, Protein Design, DeepMind Research Scientist at Google DeepMind focused on using generative machine learning models to design proteins with novel functions for wet-lab testing. The role involves developing models for in silico predictions of protein functions, troubleshooting design failures, and identifying research directions in protein design method development. Requires a PhD in a relevant field and experience with wet-lab experimental procedures and protein design tools. | Data | 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 |
| Senior Research Software Engineer, Google Research Research Software Engineer at Google Research focused on developing and deploying vision models for Auto HD Mapping to improve autonomous driving capabilities. The role involves the full ML lifecycle from literature review and data collection to model training, tuning, evaluation, and deployment, leveraging existing Google models and technologies. | Post-train | 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 |
| Student Researcher, 2026 Student Researcher role focused on foundational research and advancing the state of the art in AI systems for Google products. The role involves participating in research projects to develop solutions for real-world, large-scale problems, with opportunities across various Google research teams. | Pretrain | 8 |
| Senior Staff Research Data Scientist, AI Data This role focuses on improving AI model performance through the development of new methodologies for training data, including data acquisition and insights. The Senior Staff Research Data Scientist will work with large datasets, solve complex data science problems, and collaborate with product and model teams to advance AI. | Data | 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 |
| Research Scientist, Google Research Research Scientist at Google Research focusing on fundamental research and innovation in AI/ML, contributing to intelligent systems for Google products. Responsibilities include authoring research papers, defining research solutions, conducting experiments, and developing research prototypes. Requires a PhD and publication record, with preferred experience in owning research agendas. | Pretrain | 8 |
| Student Researcher, PhD, Winter/Summer 2026 Student Researcher (PhD) position at Google, focusing on exploratory research projects to advance scientific understanding and develop next-generation intelligent systems. The role involves participating in research, developing solutions for large-scale problems, and potentially contributing to publications. | Pretrain | 8 |
| Senior Data Scientist, Research, Search Intelligence Quality This role focuses on evaluating and improving Google Search's Generative AI products, such as AI overview and AI mode. The Senior Data Scientist will develop SOTA AI Raters and advanced measurement frameworks to ensure the quality of AI-generated responses, working with large datasets and analytical methods to inform model development and product strategy. | Eval Gate | 7 |
| Research Strategist, Emerging Impacts Team, DeepMind This role focuses on assessing the ethical and safety implications of DeepMind's AI research and applications, working with technical teams and stakeholders to ensure responsible development and deployment of AGI. The strategist will lead ethics and safety reviews, develop best practices, and inform model policy. | Eval Gate | 7 |
| Senior Data Scientist, Research, App Ecosystem and Trust This role focuses on applying advanced quantitative methods and machine learning to protect Android users from abusive applications. The data scientist will conduct end-to-end analysis, including model development and evaluation, to detect and prevent various forms of abuse, impacting the safety of billions of users. | Post-train | 7 |
| Research Data Scientist, Chrome Research Data Scientist for Chrome, focusing on integrating GenAI to create a more helpful and adaptive agent, personalize user experiences, and drive data-informed innovation using advanced statistical and ML techniques, predictive modeling, and experimentation. | Ship | 7 |
| Senior Data Scientist, Real World Journeys, Research, Search Senior Data Scientist role focused on metrics research, advanced analytics, and user journey insights for Google's commercial search verticals. The role involves applying advanced modeling techniques like LLMs and Gemini models, conducting Human Evaluations, and designing research based on user survey data. Key responsibilities include metric development, product performance investigation, experiment design, and user journey analysis, with a focus on Search AI Mode experiences and Agentic Search. | ShipEval Gate | 7 |
| Data Scientist Manager, Research, App Ecosystem and Trust Manager for a Data Science Research team focused on protecting Android users from AI-driven threats like malware and impersonation. The role involves leading technical strategy, identifying impactful data science problems, and driving the development of advanced quantitative methods, including ML modeling, to create data-driven products and solutions. This involves cross-functional collaboration with Engineering and Product leaders to translate research into business decisions. | Ship | 7 |
| Senior Data Scientist, Research, App Ecosystem and Trust This role focuses on applying advanced quantitative methods and machine learning to protect Android users from abusive applications. The data scientist will conduct end-to-end analysis, develop and evaluate ML models, and collaborate with product and engineering teams to improve safety systems. The work involves handling large datasets in an adversarial environment, aiming to detect and prevent various forms of abuse. | Post-train | 7 |