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, Sound Understanding, DeepMind Research Scientist on the Sound team within Google DeepMind Frontier AI, focused on advancing research in sound understanding, joint audio-video generation, and audio editing, contributing to the next generation of generative AI technology. The role involves improving model quality, unlocking new audio capabilities, developing evaluation methods, and publishing research. | Post-trainPretrain | 10 |
| Research Scientist, Mechanistic Interpretability, Special Projects Research Scientist focused on mechanistic interpretability of large language models to ensure safety, alignment, and reliability. This role involves exploring emerging interpretability methods, developing open-source infrastructure, performing causal validation, and publishing findings. The scientist will also write code for experiments on distributed compute clusters. |
| Post-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 |
| Research Scientist, Applied ML, Quantum Error Correction Research Scientist role focused on applying machine learning to discover novel Quantum Error Correction (QEC) codes for fault-tolerant quantum computing, specifically for superconducting qubits and high-connectivity platforms. The role involves developing large-scale automated discovery pipelines, optimizing codes for quantum processors, and contributing to the research community through publications and collaborations. | Data | 10 |
| Frontier AI Research Scientist, DeepMind Google DeepMind is seeking a Frontier AI Research Scientist to push the boundaries of AI development, focusing on advancing AI for complex global challenges and product innovation. The role involves authoring research papers, defining research frameworks, identifying new research areas, and conducting experiments to evaluate research impact. The position requires a PhD and at least one scientific publication submission. | Pretrain | 10 |
| Senior Research Scientist, Google Research Research Scientist at Google Research focused on fundamental research and innovation in AI/ML, including machine learning, deep learning, data mining, NLP, and core search. The role involves setting up large-scale tests, deploying ideas, publishing findings, and contributing to the wider research community. Requires a PhD and experience leading research agendas with publication submissions. | Pretrain | 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 |
| Research Scientist, Recommendation Systems, DeepMind Research Scientist at Google DeepMind focused on advancing AI development for product innovation and global challenges. The role involves driving new research ideas from conception to production, collaborating cross-functionally, and inventing novel solutions. Requires a PhD in ML/CS or equivalent experience, with a focus on LLM post-training algorithms and infrastructure using JAX. A strong publication record is preferred. | Post-trainShip | 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 |
| Threat Modeler Lead, CBRNE, DeepMind Lead threat modeler for AI safety in CBRNE domains, focusing on evaluating and mitigating dual-use risks of advanced AI models. This role involves refining threat modeling frameworks, designing evaluations for AI risks, collaborating with mitigation teams, and engaging with external stakeholders. Requires a PhD and experience in national labs or defense organizations, with a preference for experience in red-teaming LLMs and understanding CBRNE risks. | Eval Gate | 9 |
| Research Scientist, Verified Code Generation, DeepMind Research Scientist role focused on developing AI systems for verified code generation using LLMs and formal methods, with a focus on programming language semantics and static analysis. | ShipData | 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 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 Scientist, Google Research Research Scientist at Google Research focusing on fundamental research, new product innovation, and contributing to the wider research community by sharing and publishing findings. The role involves defining research strategy, developing prototypes, conducting experiments, and collaborating with internal and external partners. Requires a PhD and publication record, with experience in machine learning, data mining, and NLP. | Pretrain | 9 |
| 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 |
| 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 |
| 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 |
| 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 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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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, 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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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, 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 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 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, 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 |