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 |
|---|---|---|
| Research Scientist, Sound Understanding, DeepMind Research Scientist on the Sound team within Google DeepMind Frontier AI, focused on advancing research in sound understanding, joint audio-video generation, and audio editing, contributing to the next generation of generative AI technology. The role involves improving model quality, unlocking new audio capabilities, developing evaluation methods, and publishing research. | Post-trainPretrain | 10 |
| Research Scientist, Generative AI, DeepMind Research Scientist at Google DeepMind focused on designing and developing novel generative methodologies, particularly diffusion models, for media synthesis and scientific discovery. The role involves collaborating with international teams, utilizing advanced deep learning techniques, and contributing to the advancement of AI for public benefit and product innovation. |
| Post-trainPretrain |
| 10 |
| Research Scientist, Mechanistic Interpretability, Special Projects Research Scientist focused on mechanistic interpretability of large language models to ensure safety, alignment, and reliability. This role involves exploring emerging interpretability methods, developing open-source infrastructure, performing causal validation, and publishing findings. The scientist will also write code for experiments on distributed compute clusters. | Post-train | 10 |
| Research Scientist, Recommendation Systems, DeepMind Research Scientist at Google DeepMind focused on advancing AI development for product innovation and global challenges. The role involves driving new research ideas from conception to production, collaborating cross-functionally, and inventing novel solutions. Requires a PhD in ML/CS or equivalent experience, with a focus on LLM post-training algorithms and infrastructure using JAX. A strong publication record is preferred. | Post-trainShip | 9 |
| Applied AI Engineer, Audio, XR Applied AI Engineer focused on audio for Pixel devices, bridging research and deployment in hardware-constrained environments. Responsibilities include applied research in audio ML, developing novel models for speech recognition, TTS, and enhancement, and architecting ML systems for on-device and cloud platforms. | Post-trainServe | 9 |
| Senior Research Engineer This role focuses on applying AI research to real-world problems, involving prototyping, dataset curation, and deploying optimized ML systems. The Senior Research Engineer will architect and implement scalable software libraries and code in Python or C++, drive long-term research projects, and train/evaluate deep neural models and reinforcement learning algorithms. The role emphasizes influencing engineering best practices and communicating research developments. | Post-trainServe | 9 |
| Research Engineer Research Engineer at Google DeepMind focused on applying advanced ML models and research to solve real-world problems. Responsibilities include rapid prototyping, experimental design, developing scalable code, training and evaluating ML models and agents, and collaborating with research scientists and engineers. Requires a Master's degree and 2 years of experience in ML algorithm design, statistical analysis, Python/C++, and ML frameworks like TensorFlow or JAX. | Post-trainAgent | 9 |
| Senior Research Engineer Google DeepMind is seeking a Senior Research Engineer to apply AI research to high-impact problems, prototype, curate datasets, and deploy optimized ML systems. The role involves architecting and implementing scalable software libraries, driving long-term research projects, and training/evaluating deep neural models and RL algorithms. Requires a PhD or Master's degree with significant experience in ML theory, frameworks like Tensorflow/JAX/PyTorch, and leading research agendas. | Post-trainServe | 9 |
| Gemini Audio Research Scientist, DeepMind Research Scientist focused on advancing audio capabilities, particularly speech translation, by improving model quality for understanding and generation, exploring RL algorithms, and developing better evaluation methods. The role involves working with audio and visual representations and interactions, and contributing to the wider AI/ML community through publications. | Post-trainAgent | 9 |
| Senior Staff Research Scientist, Gemini Safety Post-Training, DeepMind Senior Staff Research Scientist focused on rethinking and developing safety post-training methods for agentic AI systems, particularly for Gemini models. The role involves designing and shipping post-training recipes (RL, SFT), building evaluation metrics, and translating research into production. | Post-trainAgent | 9 |
| Research Scientist, Google Research, GenAI, Experiences Research Scientist role focused on designing, implementing, and evaluating advanced ML models, with a focus on human preferences and behavior. The role involves architecting systems for model training and serving, performing statistical analyses, publishing research, and collaborating to integrate ML models into products. Requires a PhD and experience in ML, NLP, or computer vision, with a publication record. | Post-trainServe | 9 |
| Research Engineer, Agentic Security & Privacy Post-Training for Gemini, DeepMind Research Engineer focused on post-training Gemini models for security and privacy, specifically for agentic capabilities like coding and personal assistants. The role involves building training data and techniques to enhance security and privacy without sacrificing model capabilities, and collaborating on adversarial evaluation and guardrails. | Post-trainAgent | 9 |
| Research Engineer, Gemmaverse Variants Research, DeepMind Research Engineer focused on developing and launching specialized Gemma variants, contributing to core LLM research tools and infrastructure, and enabling external users through documentation and collaboration. | Post-trainServe | 9 |
| Director, Research Commercialization (AI Blackbelts) Lead a global team of AI researchers and engineers to commercialize Google's frontier scientific AI models (e.g., AlphaFold, genomics LLMs) for life sciences and healthcare customers, focusing on co-engineering solutions for drug discovery and scientific modeling. | Post-trainPretrain | 9 |
| AI Cybersecurity Team Lead, DeepMind Lead an AI cybersecurity team focused on preventing malicious misuse of AI models and enhancing AI's cyber defense capabilities. This involves overseeing defense strategies across the technical stack, translating research into production deployments, and understanding the AI research to product integration pipeline. The role also involves publishing influential work and contributing to flagship products like Gemini. | Post-trainServe | 9 |
| Research Engineer, Responsibility Engineering, DeepMind Research Engineer at Google DeepMind focused on AI safety, developing post-training strategies to mitigate adversarial risks and building evaluation infrastructure for frontier language models. The role involves prototyping scalable engineering solutions, optimizing training and inference pipelines, and collaborating with research scientists to translate safety research into implementations. | Post-trainServe | 9 |
| Research Software Engineer, Generative AI Research Software Engineer focused on developing foundational models and core technologies for synthesizing reality, particularly human body, face, and related components, to power machine learning, build better products, and enable next-generation user experiences, with applications in AR and XR devices. The role involves developing algorithms for 3D body shape estimation, rigging, skinning, and physics-based generative animation conditioned on multimodal inputs, with a requirement for publication in AI conferences. | Post-trainServe | 9 |
| Visiting Faculty Researcher, AI Personalization Visiting Faculty Researcher at Google focusing on AI Personalization. The role involves proposing novel ideas for models that learn continuously from user interactions, adapt with minimal data, and deploy efficiently on personal devices. This research position emphasizes contributing to the academic community through publications and collaborating on research proposals, while also influencing product development with potential applications in generative AI, prompt engineering, and personalization. | Post-trainAgent | 9 |
| Audio Algorithm Architect, Applied Research Applied Research role focused on foundational audio algorithms for Pixel and Buds, specifically Superhuman Hearing and Open Ear ANC. The role involves exploratory, non-timeline-based research in a high-velocity, startup-style team, aiming for massive user differentiation and defining agentic audio experiences. | Post-train | 9 |
| Staff Research Scientist, Google Ads GenAI Research Scientist role focused on adapting Gemini models for Google Ads using prompt engineering, fine-tuning, and reinforcement learning. The role involves developing novel ML modeling techniques, working with LLMs for targeting and retrieval, collaborating with DeepMind and Search teams, and publishing research findings. | Post-trainAgent | 9 |
| Senior Research Software Engineer, Google Research Research Software Engineer at Google Research focused on developing and deploying vision models for Auto HD Mapping to improve autonomous driving capabilities. The role involves the full ML lifecycle from literature review and data collection to model training, tuning, evaluation, and deployment, leveraging existing Google models and technologies. | Post-train | 8 |
| 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 |
| 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 |