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 |
|---|---|---|
| Customer Engineer, AI Infrastructure, Google Cloud Customer Engineer focused on deploying and optimizing AI infrastructure (TPUs/GPUs) for customers on Google Cloud Platform, supporting AI training and inference solutions. This role involves deep technical expertise in AI hardware, distributed systems, and performance tuning for large-scale AI workloads. | ServePost-train | 7 |
| Senior Software Engineer, Machine Learning, Debug Senior Software Engineer focused on applying computer vision and deep learning models to analyze mosquitoes for a disease eradication program. The role involves designing, training, and deploying models for object detection and image segmentation, modeling population dynamics, and transitioning research prototypes to production environments. Requires full-stack development experience and experience with ML/CV products, with a preference for edge deployment and biological/environmental science contexts. |
| ServePost-train |
| 7 |
| Senior Software Engineer, Machine Learning, Payments Senior Software Engineer, Machine Learning, Payments at Google Singapore. This role focuses on building and maintaining ultra-reliable production ML services and massive batch pipelines for the Payments team. It involves developing ML models, working with product teams for experimentation, analyzing data, and designing experiments. Requires 5 years of software development experience and 3 years each in ML infrastructure and data pipelines for ML. Preferred qualifications include experience with production ML models and system efficiency analysis. | ServeData | 7 |
| Software Engineering Manager, Content Safety, Infra Software Engineering Manager for Content Safety, focusing on ML infrastructure and AI-based techniques to protect users from harmful content. The role involves managing engineers, setting team priorities, developing technical roadmaps, and overseeing the deployment of large-scale projects. Requires significant experience in ML infrastructure, model deployment, evaluation, data processing, and fine-tuning, with a strong emphasis on people management and technical leadership. | ServePost-train | 7 |
| Software Engineer III, Ads Campaign Automation (Mandarin) Software Engineer III role focused on Ads Campaign Automation, involving large-scale experiments for Ads serving, bidding models, and retrieval systems. Requires strong software development skills, data-driven approaches, and collaboration with cross-functional teams. Familiarity with GenAI concepts is preferred. | Serve | 5 |
| Software Engineer, Ads Campaign Automation (Mandarin) Software Engineer role focused on Ads Campaign Automation, involving large-scale experiments for ads serving, bidding models, and retrieval systems. Requires experience with ads buying platforms, campaign automation, optimization, and performance diagnosis within the ads ecosystem. Fluency in Mandarin is essential for regional collaboration. | Serve | 5 |