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 |
|---|---|---|
| Senior Software Engineer, AI/ML, LLM Modeling This role focuses on training and deploying Large Language Models (LLMs) for search applications, involving reinforcement learning, multi-step reasoning, distillation, and optimizing model latency in production. The engineer will propose new modeling ideas, collect and evaluate training data, design evaluations, and collaborate on applying LLMs in real-world scenarios. | Post-trainServe | 9 |
| Staff Software Engineer, Applied Research, Foundation User Models Staff Software Engineer, Applied Research, Foundation User Models at Google. This role focuses on defining and executing the applied research roadmap for Large User Models, translating business goals into technical formulations, optimizing model performance with adaptation techniques, driving architectural improvements by influencing pre-training teams, and productionizing fine-tuning pipelines for recommendation engines. The role requires experience with Transformer-based models and ML design, with a focus on balancing quality output with strict inference latency requirements. |
| Post-trainServe |
| 9 |
| Staff Software Engineer, User AI Flywheel, Search Intelligence Staff Software Engineer focused on the User AI Flywheel for Google Search, aiming to enhance LLM performance, quality, and capabilities through user signals and advanced modeling techniques. The role involves innovating on LLM improvements, partnering with research teams, and integrating LLM technologies into products. Responsibilities include advocating for modeling/tuning/optimization, designing user signal-driven improvements, collaborating with research, and demonstrating expertise in system design, ML modeling, and coding for LLMs. The role requires experience in software development, ML design, ML infrastructure optimization, and GenAI techniques, with preferred experience in RLHF, fine-tuning, and ML systems production. | Post-trainServe | 9 |
| Staff Research Engineer, Gemini Audio, DeepMind Staff Research Engineer focused on Gemini Audio at DeepMind, developing multimodal models (audio/audio-visual) and driving end-to-end development from pretraining to production systems, utilizing RL frameworks for training infrastructure and model training. | Post-trainServe | 9 |
| Software Engineer III, Generative AI, Search Health Software Engineer III for Generative AI in Google Search Health, focusing on improving response quality, implementing new features, prompt engineering, and collaborating with the core model team. Responsibilities include building datasets, analyzing behavior, and running A/B experiments. Requires experience with GenAI techniques and ML infrastructure. | Post-trainAgent | 8 |
| ML Software Engineer, GenAI for Youth ML Software Engineer focused on building scalable, responsible AI frameworks for youth-focused products. The role involves developing unified infrastructure, algorithmic steering, and automated validation layers to bridge foundational research with production environments, operating across global product lines and acting as a technical advisor. | Post-trainServe | 8 |
| Senior Software Engineer, Generative AI, LearnX Senior Software Engineer focused on Generative AI for learning products within Google Search and Lens. Responsibilities include developing AI features, fine-tuning models, optimizing prompts, evaluating performance, and launching AI-driven features. Requires experience in AI/ML engineering, software development, and technical leadership. | Post-trainAgent | 8 |
| Senior Staff Engineering Analyst Manager, Gemini, NanoBanana, Veo Senior Staff Engineering Analyst Manager for Gemini, NanoBanana, and Veo, focusing on AI model mitigations and post-training. This role involves leading a team, pioneering safety technologies, driving cross-functional alignment, directing launch strategies for foundational models, and applying data science to audit model safety and uncover vulnerabilities. | Post-train | 8 |
| Software Engineer III, 3D Modelling, XR Google is seeking a Machine Learning Engineer with a focus on 3D geometry to work on the convergence of AI and XR. The role involves managing the end-to-end training process for ML models, optimizing them for various environments, and ensuring data quality and robustness. The engineer will adapt research in monocular depth modeling for real-world scenarios, bridging the gap between research and product requirements. | Post-trainServe | 8 |
| Software Engineer Software Engineer at Google DeepMind focused on applying research to high-impact GenAI problems, curating datasets, and building ML pipelines for generative media, multimodal understanding, and reinforcement learning. Responsibilities include developing robust product code, performing comprehensive testing, collaborating with peers, triaging and resolving complex system issues, and managing the full deployment lifecycle. | Post-trainData | 8 |
| Software Engineer Software Engineer at Google DeepMind focused on applying research to build next-generation GenAI features. Responsibilities include prototyping GenAI solutions, curating datasets, building ML pipelines for generative media and multimodal understanding, developing product code, and performing comprehensive testing. Requires experience in developing ML models with Tensorflow/PyTorch/JAX and applying ML/statistics/diffusion model theory. | Post-trainData | 8 |
| Software Engineer Software Engineer at Google DeepMind focused on applying research to high-impact problems by prototyping GenAI solutions, curating datasets, and building ML pipelines for generative media, multimodal understanding, and reinforcement learning. Requires experience in ML, software development, data structures, algorithms, and ML infrastructure management. | Post-trainData | 8 |
| Software Engineer Software Engineer at Google DeepMind focused on applying research to high-impact problems by prototyping GenAI solutions, curating datasets, and building ML pipelines for generative media, multimodal understanding, and reinforcement learning. The role involves developing and testing robust product code, collaborating with peers, triaging issues, creating documentation, and managing the full deployment lifecycle. | Post-trainData | 8 |
| Software Engineer Software Engineer at Google DeepMind focused on applying research to high-impact problems by prototyping GenAI solutions, curating datasets, and building ML pipelines for generative media, multimodal understanding, and reinforcement learning. Requires experience in training generative AI models, developing ML models with frameworks like Tensorflow/PyTorch/JAX, ML infrastructure management, and software development. | Post-trainData | 8 |
| Software Engineer Software Engineer at Google DeepMind focused on applying research to high-impact GenAI problems, including prototyping solutions, curating datasets, and building ML pipelines for generative media, multimodal understanding, and reinforcement learning. The role involves developing robust product code, performing comprehensive testing, collaborating with peers, resolving system issues, creating documentation, and managing the full deployment lifecycle. | Post-trainData | 8 |
| Senior Software Engineer, AI/ML Senior Software Engineer, AI/ML role focused on developing and launching AI-driven learning features for Google Search and Lens. Responsibilities include data preparation, fine-tuning, prompt optimization, performance evaluation, and cross-functional collaboration. | Post-trainAgent | 8 |
| Senior Software Engineer, AI/ML, Google Meet Senior Software Engineer focused on AI/ML for video quality optimization and understanding in Google Meet. Responsibilities include developing ML models for video enhancement, segmentation, and understanding, collaborating on best practices, and driving AI/ML development in the video domain to create tangible features for users. | Post-train | 8 |
| Software Engineer III, Machine Learning, Search Intelligence Software Engineer III, Machine Learning, Search Intelligence at Google, focused on developing and deploying core ranking and machine learning models for Google Search. The role involves building data pipelines, contributing to model distillation, and maintaining training infrastructure to improve performance for challenging queries, particularly for long-tail query scenarios. The position requires experience in software development, ML infrastructure, and potentially speech/audio, reinforcement learning, or other ML specializations. | Post-trainServe | 8 |
| Senior Software Engineer, Gmail Abuse and Safety Protections Senior Software Engineer role focused on protecting Gmail users from abuse, particularly leveraging GenAI and ML techniques. The role involves assessing threats from new technologies like GenAI, designing safeguards, driving improvements through ML algorithms and systems, and building production-ready ML systems. It requires experience with ML infrastructure, GenAI techniques, and data analysis, with a focus on applied machine learning in user-facing products and safety/abuse fighting. | Post-trainServe | 8 |
| Staff Engineering Analyst Manager, Veo and Robotics This role leads a team of engineering analysts focused on AI safety for foundational models like Gemini, Veo, and Robotics. Responsibilities include developing introspection heads, post-training models for safety alignment, building LLM-based safeguards, and generating insights from model logs. The role emphasizes collaboration across Google DeepMind and Trust & Safety, strategic direction for model launches, and rigorous auditing of model safety. | Post-trainAgent | 8 |
| Senior Staff Engineering Analyst Manager, Gemini, NanoBanana, Veo Senior Staff Engineering Analyst Manager for Gemini, NanoBanana, Veo, focusing on Introspection and post-training model mitigations. The role involves leading and scaling a team, pioneering safety mitigation architectures using technologies like supervised fine tuning and direct preference optimization, driving cross-functional alignment, directing foundational model launch strategies, and applying data science to audit model safety. Requires 8 years of experience in data science/ML and 5 years in technical leadership/people management. | Post-train | 8 |
| Software Engineer III, Google Home Video Intelligence Software Engineer III at Google Home Video Intelligence, focusing on building and deploying real-time camera video understanding for smart home devices. Responsibilities include writing product code, participating in design reviews, reviewing code, contributing to documentation, and researching, training/fine-tuning, and applying ML/LLM models for video understanding. | Post-trainServe | 8 |
| Senior Software Engineer, AI/ML Senior Software Engineer, AI/ML at Google, focusing on developing and launching AI-driven learning features for Search Web and Lens. Responsibilities include managing AI feature design, analyzing model performance, leading cross-functional collaboration, and ensuring AI/ML best practices. Requires 5 years of software development, 3 years in AI/ML engineering, and 1 year in technical leadership. | Post-trainData | 8 |
| Senior Applied ML Engineer, Graph Neural Network, ML Frontiers Senior Applied ML Engineer focused on Graph Neural Networks within the ML Frontiers team, collaborating on LLM agents and decision forests. The role involves feature development, research exploration, and client collaboration, bridging pioneering models with enterprise solutions. | Post-train | 8 |
| Software Engineer III, AI/ML, YouTube Shopping Google is seeking a Software Engineer III, AI/ML for their YouTube Shopping team in Zurich. The role involves designing, implementing, and deploying ML models for tasks like Product Detection and Video Classification, building training data pipelines, and ensuring model performance through evaluation frameworks. The engineer will also contribute to the back-end infrastructure for efficient model serving at scale and implement solutions in specialized ML areas. | Post-trainServe | 8 |
| Senior Software Engineer, Machine Learning, Vertex AI Senior Software Engineer on the Vertex Generative AI Media team, focusing on transforming generative models into high-performance engines for enterprise customers. The role involves managing post-training issues, including Multimodal Supervised Fine-Tuning (SFT) and Latent Distillation, to ensure brand-aligned, production-grade media generation. The engineer will build custom-tailored Generative Media by fusing Google's video and image foundations with proprietary enterprise data. | Post-trainServe | 8 |
| Senior Software Engineer, AI/ML, Google Meet Senior Software Engineer focused on AI/ML for video quality optimization and understanding in Google Meet. Responsibilities include developing ML models for video enhancement, segmentation, and understanding, collaborating on best practices, and driving AI/ML development in the video domain to create tangible features for users. | Post-train | 8 |
| 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 |
| 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 |
| 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 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 |