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, Gemini Data, DeepMind Research Scientist/Engineer at Google DeepMind focused on expanding Gemini pre-training models for legal, finance, and healthcare domains. Responsibilities include designing evaluation protocols, proposing novel data solutions, and executing experiments to improve model capabilities. Requires PhD, 2 years LLM modeling experience, and ML/AI publications. | PretrainPost-train | 9 |
| AI Engineer, Google Cloud Consulting (English, French) AI Engineer role focused on designing, prototyping, and implementing AI solutions for enterprise customers on Google Cloud. The role involves acting as an ML generalist, bridging research and production, and leveraging Google's AI products like Vertex AI and Gemini. Responsibilities include advising customers, writing production code, guiding on ML and GenAI production challenges, and collaborating with product teams to transition prototypes into scalable production architectures. |
| ShipAgent |
| 8 |
| Senior AI/ML Software Engineer, YouTube Knowledge Senior AI/ML Software Engineer at Google, working on YouTube's knowledge systems. The role involves developing and deploying ML models, including LLMs and GenAI, to improve core YouTube products like Home, Search, and Recommendations. Responsibilities include writing and testing code, collaborating on design, debugging issues, and implementing ML solutions leveraging ML infrastructure. The role requires experience with software development, ML infrastructure, and potentially speech/audio or reinforcement learning. | Ship | 7 |
| Senior Software Engineer, Operations Research Senior Software Engineer role focused on developing and implementing operations research and optimization algorithms, with a component of applying machine learning methodologies to solve problems at Google scale. The role involves writing and testing code, leading design reviews, and contributing to system design and architecture. | Data | 7 |
| Executive Administrative Business Partner, DeepMind (French) Administrative Business Partner role supporting executive leaders at Google DeepMind, focusing on calendar management, travel, and operational efficiency. The role requires strong communication and organizational skills, with a preference for experience with AI tools. | — | 0 |
| Forward Deployed Engineering Manager II, Generative AI, Google Cloud | — | — |