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 |
|---|---|---|
| Software Engineer, PhD, Early Career, AI/Machine Learning, 2026 Start Google is seeking PhD graduates for Software Engineer roles focused on AI/Machine Learning. The role involves developing and deploying advanced ML systems across the full stack, from hardware acceleration to production APIs, and transforming research expertise into scalable products. The position requires experience in ML/AI and coding, with a preference for large-scale distributed environments and deep learning frameworks. | Post-trainServe | 8 |
| Software Engineer III, Perception, XR Software Engineer III, Perception, XR at Google, focusing on on-device deep learning for audio enhancement and speech understanding in smart wearable glasses. The role involves developing and evaluating speech enhancement algorithms, experimenting with ML modeling, and acquiring data for training models. |
| Post-trainData |
| 7 |
| Business Data Scientist, Customer Voice, Analytics This role focuses on developing and deploying NLP and machine learning models to extract insights from customer conversations for a Go-to-Market team. It involves identifying trends, predicting customer behaviors, and ensuring statistical rigor in reporting, with a focus on Large Language Models and prompt engineering. | Post-trainData | 7 |
| Research Data Scientist II, Waze This role focuses on developing and owning Machine-Learning models for Waze's personalized navigation experience. Responsibilities include feature engineering, model evaluation, tuning, monitoring, and working with product and backend teams to integrate models into production. The role requires experience in data engineering, ML, and cloud platforms. | Post-train | 7 |
| Software Engineer III, Perception, XR Software Engineer III for Google's XR team, focusing on on-device deep learning for audio enhancement and speech understanding in smart wearable glasses. The role involves developing and evaluating algorithms for noise filtering, context interpretation, and improving user speech, with a strong emphasis on production readiness and quality. | Post-trainData | 7 |
| Senior Software Engineer, Motion Algorithms Senior Software Engineer focused on developing and productizing cutting-edge ML models and algorithms for motion and location systems on Android devices and Pixel products. The role involves working on sensor fusion, state estimation, and optimizing these for resource-constrained environments, impacting core features and user experiences. | Post-trainServe | 7 |
| Engineering Manager, Ads ML Modeling Engineering Manager for Google's Ads ML Modeling team, responsible for building and maintaining models to improve advertiser campaign optimization. The role involves people management, technical leadership, strategic planning, and driving the development of ML applications, data analyses, and methodologies. Focuses on areas like forecasting, predictive caching, and UI ranking models. | Post-train | 7 |
| Senior Data Scientist, Research, App Ecosystem and Trust This role focuses on applying advanced quantitative methods and machine learning to protect Android users from abusive applications. The data scientist will conduct end-to-end analysis, including model development and evaluation, to detect and prevent various forms of abuse, impacting the safety of billions of users. | Post-train | 7 |
| Business Data Scientist, Customer Voice, Analytics This role focuses on developing and deploying NLP and machine learning models to extract insights from customer conversations for a Go-to-Market team within Google's Ads product. The data scientist will identify trends, cluster feedback, predict customer behaviors, and ensure statistical rigor in reporting. The role involves designing, training, and deploying models, building predictive models, applying statistical methods, and communicating findings to leadership. | Post-trainAgent | 7 |
| Post-Training Technical Program Manager, GenAI, DeepMind Technical Program Manager for GenAI at DeepMind, focusing on post-training AI development. The role involves leading complex, cross-functional programs, translating AI concepts into strategic plans, managing stakeholders, and ensuring project delivery. Requires strong technical acumen and experience in leading engineering projects. | Post-train | 7 |
| Technical Program Manager, Safety, Alignment and Collaboration, DeepMind Technical Program Manager for Post-Training & Alignment in GenAI at DeepMind, focusing on driving technical design, execution, and operational processes for safety, alignment, and collaboration. The role involves managing multi-team projects, adapting plans in fast-paced environments, identifying risks, and building stakeholder relationships. | Post-train | 7 |
| Staff Software Engineer, AI/ML, App Ads Quality Staff Software Engineer at Google working on App Ads Quality, focusing on designing and improving deep learning-based ML models to predict user interaction with ads. This involves feature engineering, optimizing model efficiency and reliability, and debugging advertiser performance. The role requires significant experience in software development, ML design, and ML infrastructure. | Post-train | 7 |
| Product Manager, Persona and Behavior, GeminiApp, DeepMind Product Manager for GeminiApp, DeepMind, responsible for defining the core rulebook for Gemini's default behaviors, personality, and interaction style. This involves navigating subjective trade-offs, balancing model IQ and EQ, and developing frameworks for evaluating model quality from a taste perspective. The role collaborates closely with research, engineering, and post-training teams to bring the model's personality to life and ensure alignment with product goals and constitutional AI principles. | Post-trainAgent | 7 |
| Software Engineer, Commerce Content Safety Software Engineer role focused on building and deploying ML models, including LLMs, for content safety in Google Commerce. This involves designing, building, and iterating on models for policy violation detection across text, image, and video, as well as developing pipelines for training data curation and model evaluation. The role requires collaboration with various teams to integrate safety measures and analyze data to improve systems. Experience in AI/ML is required, with a preference for generative AI and AI algorithms. | Post-trainData | 7 |
| Software Engineer, Machine Learning Software Engineer, Machine Learning at Google, focused on building and maintaining ML models for Search Advertisements to predict user interactions and optimize advertiser bids. The role involves the full ML model lifecycle, from design and training to deployment and serving in production at scale, utilizing frameworks like Keras and TensorFlow. | Post-trainServe | 7 |
| Health Sensing Engineer This role focuses on developing custom silicon solutions for Google's direct-to-consumer health products, involving the interpretation of health-related data from wearable sensors using machine learning/deep learning models. The engineer will also design, build, and validate new wearable sensors and collaborate on user studies, particularly for Software as a Medical Device (SaMD). | Post-train | 7 |
| Senior Software Engineer, Generative AI, LearnX Senior Software Engineer role focused on developing and launching AI-motivated features for learning products within Google Search and Lens. Responsibilities include data preparation, fine-tuning, prompt optimization, model evaluation, and driving cross-functional collaboration to ensure quality and delivery of AI features. | Post-trainServe | 7 |
| Software Engineer III, YouTube Streaming Trust and Safety Software Engineer III at Google YouTube, focusing on Trust and Safety for livestreams. The role involves analyzing content gaps, building multi-modal classifiers (video, image, audio, transcripts, metadata) using machine learning, and productionizing these solutions. Requires experience in applied ML, Python, and handling large-scale systems. | Post-train | 7 |
| Staff UX Content Designer, Search This role focuses on shaping generative AI experiences within Google Search by leading model behavior design, content strategies, and training methods. The Staff UX Content Designer will develop frameworks, rubrics, and evaluation methods to ensure high-quality, trustworthy responses, working closely with researchers, PMs, and engineers. The role emphasizes influencing response quality, building user confidence, and defining standards for a reliable search experience. | Post-trainAgent | 7 |
| Staff Content Designer and Model UX Writer, Google Fi This role focuses on shaping product experiences through content design and UX writing, with a significant emphasis on conversational AI and driving the behavior of AI models. The responsibilities include establishing model training practices, writing content for AI, and evaluating response quality. The role also involves developing AI-driven prototypes and working with multi-modal interfaces, indicating a strong connection to building and refining AI systems. | Post-trainAgent | 7 |
| Software Engineer III, YouTube Trust and Safety Software Engineer III at Google's YouTube Trust and Safety team, focusing on building classifiers and applying ML methods to improve automatic content detection and address trust and safety challenges. The role involves analyzing content understanding gaps, orchestrating signals from expert models, and productionizing ML solutions. | Post-trainServe | 7 |
| Senior Software Developer, Machine Learning This role focuses on developing and innovating machine learning-based algorithms for video compression, aiming to improve efficiency and reduce complexity for both traditional and generative content. The role involves contributing to industry standards and developing novel algorithms for next-generation codecs, with a specific emphasis on Generative AI applications. | Post-train | 7 |
| Senior Data Scientist, Research, App Ecosystem and Trust This role focuses on applying advanced quantitative methods and machine learning to protect Android users from abusive applications. The data scientist will conduct end-to-end analysis, develop and evaluate ML models, and collaborate with product and engineering teams to improve safety systems. The work involves handling large datasets in an adversarial environment, aiming to detect and prevent various forms of abuse. | Post-train | 7 |