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 |
|---|---|---|
| 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 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 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 |
| 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 |
| Staff Data Scientist, Research, Search Health Research Data Scientist focused on evaluation and metrics for AI answers in Search Health, developing advanced ML/LLM methodologies to identify product opportunities and influence product/engineering directions. | Eval Gate | 7 |