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 |
|---|---|---|
| Software Engineer III, GenAI Data Operations Research, XR Software Engineer III role focused on GenAI Data Operations Research for XR and Platforms & Devices. Responsibilities include leading synthetic dataset deliveries, building toolkits for GenAI inference and metadata extraction, and developing pipelines for fine-tuning foundational models. Requires experience in software development, ML infrastructure, and data processing, with a focus on speech/audio, reinforcement learning, or other ML specializations. | DataPost-train | 8 |
| AI/ML Senior Software Engineer, Data Optimization and Platform This role focuses on improving the time to model quality for users by applying data optimization techniques through integrated tools and platforms. The engineer will scale data optimization techniques, establish technical relationships with product areas, leverage Google Research assets, and collaborate with Research teams and ML practitioners to build and iterate on engineering tools, processing pipelines, and data optimization techniques. The goal is to make AI helpful for everyone by advancing Google's AI capabilities. |
| DataPost-train |
| 8 |
| Software Engineer, AI/ML, PhD, Early Career Software Engineer role focused on scaling data optimization techniques to improve ML model performance and quality, working with Research teams and ML practitioners to build and iterate on engineering tools and processing pipelines. The role emphasizes the data-centric nature of AI in the Gemini era and improving model quality through data optimization. | Data | 8 |
| Robotics Hardware Industrialization Engineer, DeepMind The Embodied Systems team within Deepmind Robotics is seeking a Robotics Hardware Industrialization Engineer to bridge the gap between robotics research goals and scalable data collection in a laboratory environment. This role involves transforming advanced research testing concepts into actionable designs and processes for data collection humanoid laboratories, optimizing robot operations, reducing costs, and ensuring system reliability. The engineer will be the first point of contact for test cell design and an authority on process control and DFM/DFX approaches, working with cross-functional teams to define functional hardware and processes for a productive and scalable laboratory environment. | Data | 7 |
| Technical Program Manager, Geo Data Technical Program Manager for the Geo team, focused on architecting and building Generative AI solutions for moderation, scalability, and efficiency. The role involves managing the generation of labels for model improvements, serving as a point of contact for global regulatory workflows, and overseeing end-to-end project lifecycles. Experience with LLMs, prompt engineering, and GenAI moderation frameworks is preferred. | DataPost-train | 7 |
| Senior Leadership Technical Program Manager, AI Data Lead complex projects that explore the profound impact of data on the quality of AI models and products, spanning training, testing, evaluation, and adaptation. Work with engineering, product management, and other partners to define workstreams, requirements, schedules, resources, and milestones. Identify and implement risk mitigations and resolve issues. Provide project status updates to various audiences. | DataPost-train | 7 |
| Image Processing Engineer Image Processing Engineer role focused on optimizing image quality across hardware and software stacks, fine-tuning 3A algorithms, and building ML automation tools for image quality tuning, testing, benchmarking, and calibration workflows. Requires experience in image quality or computer vision and proficiency in Python and C++. | Data | 7 |
| Senior Software Engineer, Payments Data Platform This role focuses on building and evolving the core data infrastructure and tooling for Google's Payments Data Platform (GDP). The platform supports advanced analytics, AI personalization, and agentic experiences, aiming to unlock the potential of Payments data for reliable, compliant, and scalable data infrastructure. The engineer will design and implement data pipelines, own technical areas, and drive technical strategy for data management. | Data | 5 |
| Staff Software Engineer, Health Data Foundations and Analytics Staff Software Engineer on the Health Data Foundations and Analytics team at Google, focusing on organizing and transforming health and fitness data to support AI innovation. The role involves technical leadership, software development, and integrating generative AI tools and LLMs into workflows. This position is crucial for high-impact projects within Google Health, aiming to improve personal health outcomes globally. | Data | 5 |
| Staff Software Engineer, Gemini App, Data Engineering, DeepMind Staff Software Engineer on the Gemini Apps Data Engineering team at Google DeepMind. This role focuses on architecting and operating data pipelines for Gemini, a large-scale AI product. Responsibilities include building scalable data pipelines for analytics and ML/AI training, ensuring data quality and reliability, and providing technical leadership to a team of engineers. The role involves working with stakeholders across Data Science, model release, and DeepMind to solve data challenges and support Gemini's growth. | Data | 5 |
| Staff Technical Lead Health Features, Backend, Data Infrastructure Staff Technical Lead for Health Features, Backend, and Data Infrastructure at Google. This role involves leading a team of software engineers, defining technical strategy for data ingestion and health features, and ensuring system reliability, security, and compliance (including HIPAA). The role emphasizes leveraging AI to improve development velocity and code quality, and bringing AI-driven health experiences to users. | Data | 5 |
| Software Engineer III, YouTube Ads, Traffic Prediction Software Engineer III at Google YouTube Ads focused on designing and implementing prediction models for YouTube creator bundles, contributing to traffic prediction within the advertising platform. Requires experience in software development, full-stack development, and data structures/algorithms. | Data | 5 |
| Technical Program Manager III, Advanced Analytics, Google Data Center Technical Program Manager III role focused on Advanced Analytics for Google Data Centers. The role involves leading complex, multi-disciplinary projects, planning requirements, managing schedules, identifying risks, and communicating with stakeholders. Responsibilities include designing and implementing data warehouse infrastructure, data pipelines, predictive analytics, and machine learning models using GCP. The role also involves managing program deliverables and extracting business insights from datasets to maintain data center operations and efficiency. | Data | 5 |
| Staff Software Engineer, Flume ML This role is for a Staff Software Engineer on the Flume ML team at Google Cloud, focusing on managing and evolving planet-scale data processing infrastructure that powers foundational ML features and next-generation AI initiatives. The primary objective is to advance scheduleability and auto-tuning capabilities for massive-scale ML pipelines and data workloads, bridging complex infrastructure with cutting-edge products. The role involves technical leadership, influencing and coaching engineers, managing projects, and designing/developing large-scale software solutions. | Data | 5 |
| Trust and Safety Analyst, User Feedback This role involves analyzing user feedback to improve policy enforcement on Google Ads, leveraging data analytics and potentially LLMs to identify opportunities and build solutions. The analyst will own technical implementation of pipelines, drive project delivery, and enhance operational workflows through process improvements and automation. | Data | 5 |
