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 |
|---|---|---|
| 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 |
| Senior Technical Program Manager Lead, Gemini Audio, DeepMind Senior Technical Program Manager Lead for Gemini Audio at Google DeepMind, focusing on end-to-end model quality across the AI lifecycle. The role involves collaborating with researchers, data scientists, and serving/deployment teams to manage model training priorities, design and execute evaluations, and oversee the entire release cycle for foundational audio models. This includes checkpoint uploads, documentation, deployment coordination, capacity planning, and cross-functional testing, with a strong emphasis on applying deep AI evaluation methodologies and driving strategic outlook with high agency. |
| Eval GatePost-train |
| 9 |
| Staff Software Engineer, Model Quality Staff Software Engineer for Google Pics, an AI-powered visual editor, focusing on building and improving automated evaluation systems for generative AI models. The role involves establishing metrics, running evaluations, providing insights for model quality improvement, and creating tools to enhance the evaluation process, with a roadmap towards a 2026 launch. | Eval Gate | 8 |
| Technical Program Manager, Frontier Safety, Alignment and Collaboration, DeepMind Technical Program Manager for Frontier Safety, Alignment, and Collaboration at Google DeepMind. This role focuses on operational strategy and execution for safe and responsible AI development, bridging AI research with product deployment. Responsibilities include managing safety frameworks, implementing unified safety gates, coordinating evaluations for critical capability levels, and managing mitigation plans for model breaches. The role requires strong program management skills and an understanding of ML/AI safety and alignment principles. | Eval GatePost-train | 8 |
| Privacy and Security Technical Assurance Lead, RCI This role leads AI security assurance testing programs, focusing on independent technical validation and oversight of AI/ML controls. It involves offensive security testing, threat modeling, and collaborating with engineering and legal teams to ensure compliance with AI regulations. The primary output is the assurance testing framework and identified vulnerabilities, with a secondary focus on the security of tuned AI models. | Eval GatePost-train | 8 |
| Engineering Analyst, Trust and Safety, Gemini and Labs This role focuses on architecting the approach to complex risks associated with AI, defining the strategic roadmap for model safety, anticipating future threats, and developing novel evaluation paradigms to influence product and research direction. The primary focus is on ensuring safety as a foundational component of AI systems, with a secondary involvement in fine-tuning techniques and classifier-based guardrails. | Eval GatePost-train | 8 |
| Tech Lead Manager, Freshness and Factuality, GeminiApp, DeepMind Tech Lead Manager for GeminiApp, DeepMind, focusing on measuring the intelligence of AI agents through testing systems, developing test problems, and evaluating agent performance. The role involves leading a team of software engineers to ensure freshness and factuality in Gemini applications, driving backend improvements, and productionizing solutions. It requires a strong software engineering foundation, technical leadership, and experience with deep learning/machine learning, with a focus on offline and online evaluation pipelines and agent testing. | Eval GateAgent | 8 |
| Research Engineer, Benchmarking, Robotics, DeepMind Research Engineer focused on benchmarking foundation models for robotics. The role involves designing evaluation protocols, tooling, and frameworks to assess robot policies in both simulated and real-world environments. Key responsibilities include building infrastructure for large-scale evaluation, root-causing policy failures, establishing evaluation criteria for model releases, and innovating on hardware evaluation processes. The goal is to provide data-driven insights into technological readiness for robotics development. | Eval GateAgent | 8 |
| Senior Engineering Analyst, Workspace AI, Trust and Safety This role focuses on ensuring the safety and integrity of Workspace AI products by developing and implementing anti-abuse policies, strategies, and evaluation frameworks. It involves analyzing data, identifying safety issues, and collaborating with engineering and product teams to mitigate risks. | Eval GatePost-train | 7 |
| Technical Program Manager, Gemini Evals, DeepMind Technical Program Manager at Google DeepMind focused on Gemini Evals. The role involves collaborating with engineering and data science teams to design, integrate, and execute model evaluations, conduct loss analysis, and drive strategic goals for AI programs. Requires experience in leading engineering projects and understanding LLM evals, model training, or data science. | Eval GatePost-train | 7 |
| 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 |
| Clinical Specialist, Mental Health This role focuses on evaluating AI model performance in mental health safety and quality applications, providing clinical leadership and guidance for AI projects within Google for Health. The specialist will leverage clinical expertise to influence product development and ensure AI tools improve health journeys. | Eval Gate | 7 |
| Privacy and Security Technical Assurance, Risk, Compliance and Integrity This role focuses on providing technical assurance and risk management for AI/ML systems within Google's Risk, Compliance and Integrity organization. The individual will be responsible for designing and executing testing frameworks for AI/ML and traditional security controls, leading cross-functional security testing initiatives, and advocating for AI security assurance. The role requires a deep understanding of AI/ML architectures, offensive security testing, threat modeling, and program management capabilities, operating as a critical second line of defense. | Eval Gate | 7 |
| AI Software Developer, Android XR, Application Compatibility AI Software Developer for Android XR, focusing on application compatibility and evaluation. The role involves building scalable execution frameworks and designing an automated evaluation framework using LLMs and computer vision to detect XR-specific issues. | Eval GateAgent | 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, Core Ranking and AI Context Senior Data Scientist role focused on Core Ranking and AI Context Engineering for Google's key products like Search, AI Overview, and AI Mode. The role involves identifying quality and metric headroom, conducting analyses, applying AI methods, developing and automating evals and measurements to guide improvements, and partnering with engineering and product teams to drive system changes. | Eval Gate | 7 |
| Technical Program Manager, Generative AI Safety Technical Program Manager for Generative AI Safety at Google, focusing on leading initiatives to expand content safety infrastructure, integrate safety classifiers, and build rapid response capabilities for AI abuse. The role involves partnering with cross-functional leaders to convert threat intelligence into scalable models and technical protections within the serving stack, orchestrating safety engineering teams, and managing global workflows for timely integration and evaluation of safety models for Gemini releases. This role also coordinates with infrastructure teams, generative AI product groups, and foundational model researchers to integrate safety signals into primary models. | Eval GatePost-train | 7 |
