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 |
| 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, 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 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 |
| 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 |
| 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 |
| 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 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 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 |
| 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 |
| 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 to solve real-world, large-scale problems, with opportunities across various Google research teams. | Pretrain | 7 |
| Student Researcher, BS/MS, Winter/Summer 2026 Student Researcher Program at Google focusing on academic collaborations and scientific advancement in AI and other research areas. Students will work on exploratory projects to develop solutions for real-world, large-scale problems, potentially contributing to next-generation intelligent systems. | Pretrain | 7 |
| Software Engineer, Systems Research, PhD, Early Career Google is seeking a Software Engineer for Systems Research with a PhD to explore emerging technologies and systems, design and build prototypes for data center and cloud environments including machine learning, and influence products by operating across research and engineering teams. | Serve | 7 |
| Staff Research Data Scientist, Search Ads GenAI Staff Data Scientist role focused on Generative AI (GenAI) projects within the Search Ads organization, specifically on the AI mode surface. The role involves guiding product development and executive decisions using data science, experiment design, and data analysis to measure impact, identify growth opportunities, and understand trade-offs. The primary focus is on driving long-term value for Google's business through AI-driven product improvements in ads. | Ship | 5 |
| Senior Virologist, DeepMind This role focuses on developing and executing biology evaluations to test the safety of AI models, specifically LLMs, and driving the development of harm frameworks and mitigation strategies. The individual will collaborate with experts in science, AI ethics, policy, and safety, and communicate results to decision-makers. The role requires a PhD in virology or equivalent, with experience in biosecurity principles at the intersection of microbiology and AI safety, including LLM risk assessments. | Eval Gate | 5 |
| Data Scientist, Research - multiple openings This role focuses on translating business questions into analytical frameworks, designing and evaluating mathematical models, and performing statistical analysis using data infrastructure. It involves data gathering, extraction, and validation to ensure readiness for analysis, with a strong emphasis on using analytics to solve product or business problems. | — | 5 |
| Principal Virologist, Responsible Development and Innovation, DeepMind This role focuses on evaluating AI models for biological threats, integrating scientific insights into safety frameworks, and shaping biosecurity mitigation strategies. The Principal Virologist will partner with AI researchers and engineers to embed biosecurity protocols and conduct advanced biology evaluations against AI models. | — | 5 |
| Senior Research Scientist, Superconducting Qubit Measurement, Quantum AI Research Scientist role focused on millikelvin measurements of superconducting circuits for quantum computing, including calibration of qubit gates and readout. The role involves close collaboration with design and fabrication teams to improve device performance and build integrated chip stacks. Responsibilities include calibrating and characterizing qubits, building control and analysis software, designing control schemes, partnering with other teams, and publishing research findings. | — | 0 |
| Senior Research Scientist, Neutral Atoms Control Electronics, Quantum AI Research Scientist role focused on designing and implementing control electronics for neutral-atom-based quantum processors within Google Quantum AI. The role involves architecting, developing, testing, and deploying electronic control systems, collaborating with cross-functional teams and vendors, and contributing to the advancement of quantum computing capabilities. | — | 0 |
| Research Scientist, Neutral Atoms, Quantum AI Research Scientist focused on building a fault-tolerant quantum computer using neutral atoms, involving hardware design, error modeling, and experimental setup. The role emphasizes fundamental research, publishing findings, and collaborating within the quantum computing field. | — | 0 |
| Research Scientist, Optical Engineering Neutral Atoms, Quantum AI Research Scientist focused on optical engineering for quantum AI, involving the design, testing, and scaling of optical systems for neutral atom manipulation. The role contributes to the quantum computing roadmap and involves publishing research findings. | — | 0 |
| Senior UX Researcher, Hardware UX Researcher for Google's Hardware team, focusing on user needs and product development through various research methods. Collaborates with cross-functional teams to create helpful experiences. | — | 0 |
| Research Scientist, Quantum Error Correction, Quantum AI Research Scientist role focused on developing quantum error correction (QEC) schemes for fault-tolerant quantum computing, specifically for superconducting qubits and high-connectivity platforms. Responsibilities include developing QEC for modular architectures, analyzing fault-tolerant circuits, and engineering decoding algorithms for LDPC codes. The role also involves publishing findings and collaborating with research institutions. | — | 0 |
| Quantum Error Correction Metrologist, Quantum AI Research Scientist role at Google Quantum AI focused on quantum error correction. Responsibilities include designing and executing experiments to identify error mechanisms, developing data analysis tools for quantum datasets, and collaborating with qubit design and theory teams. Requires a PhD in Physics or related field, Python experience, and a publication record. Preferred qualifications include experience with quantum device control and QEC experiments. | — | 0 |
| Senior Staff Research Scientist, Quantum Error Correction, Quantum AI Senior researcher in Quantum AI focusing on quantum error correction, developing new quantum codes and constructions for non-clifford logical gates, and analyzing fault-tolerant circuits. The role involves setting research agendas, publishing findings, and contributing to the development of large-scale quantum computers. | — | 0 |
| Mechanical Engineer, Cooling System Design and Analysis Mechanical Engineer focused on the design, analysis, and optimization of data center cooling systems, utilizing modeling and simulation tools to improve performance and explore new technologies. The role involves cross-functional collaboration and technical documentation. | — | 0 |