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 Research Scientist, Google Research Research Scientist at Google Research focused on fundamental research and innovation in AI/ML, including machine learning, deep learning, data mining, NLP, and core search. The role involves setting up large-scale tests, deploying ideas, publishing findings, and contributing to the wider research community. Requires a PhD and experience leading research agendas with publication submissions. | Pretrain | 10 |
| Research Scientist, Google Research Research Scientist at Google Research focusing on fundamental research, new product innovation, and contributing to the wider research community by sharing and publishing findings. The role involves defining research strategy, developing prototypes, conducting experiments, and collaborating with internal and external partners. Requires a PhD and publication record, with experience in machine learning, data mining, and NLP. |
| Pretrain |
| 9 |
| Software Engineer, Foundational ML Research This role focuses on foundational ML research, prototyping algorithmic approaches, and designing/implementing solutions in specialized ML areas. It involves large-scale model training and applying research to post-training generative models. | PretrainPost-train | 9 |
| Research Engineer, Pretraining, DeepMind Research Engineer at Google DeepMind focused on inference-optimized model design for Gemini pretraining. The role involves working across the LLM preparation stack (pretraining, fine-tuning, serving) and understanding XLA primitives and JAX on TPUs. Requires a Bachelor's degree and 5 years of experience in inference-optimized model design, with a preference for applied research experience in large transformer models and fine-tuning. | PretrainPost-train | 9 |
| Staff Research Scientist, AI2 Research Staff Research Scientist role focused on fundamental AI research, including foundation models and agentic solutions, with a strong emphasis on publishing findings and contributing to the wider research community. The role involves defining research strategies, developing new architectures, and potentially bringing innovations to production. | Pretrain | 9 |
| Senior Research Scientist, AI2 Research Research Scientist role focused on fundamental AI research, including foundation models and agentic solutions, with a goal of publishing in top venues and impacting production. Requires a PhD and experience leading research agendas, with a strong publication record. | Pretrain | 9 |
| Senior Research Scientist, Google Cloud AI Research Research Scientist role focused on fundamental AI research, developing new products, and contributing to the research community. The role involves defining research strategies, designing experiments, and publishing findings, with a focus on machine learning and deep learning. | Pretrain | 9 |
| Staff Research Scientist, Google Cloud AI Research Staff Research Scientist at Google Cloud AI Research focusing on fundamental AI research, pushing the state-of-the-art, and collaborating with product teams to bring innovations to market. The role involves authoring research papers, defining research strategies, and contributing to the wider research community. | Pretrain | 9 |
| Senior Staff Research Scientist, Google Cloud AI Research Senior Staff Research Scientist at Google Cloud AI Research focusing on fundamental research, new product innovation, and infrastructure goals within AI and Infrastructure. The role involves setting up large-scale tests, deploying ideas, managing deadlines, and applying theories to develop new products and technologies. It also includes contributing to the research community through publications and collaborations. The team works on hyperscale computing, AI models, and infrastructure at a global scale, contributing to products like Vertex AI. Responsibilities include authoring research papers, contributing to research growth, delivering full projects, identifying new research areas, and engaging stakeholders to address undefined problems. | Pretrain | 9 |
| Student Researcher, PhD, Winter/Summer 2026 Student Researcher (PhD) position at Google, focusing on exploratory research projects to advance scientific understanding and develop next-generation intelligent systems. The role involves participating in research to solve real-world, large-scale problems, with opportunities across various Google research teams. | Pretrain | 7 |
| Student Researcher, BS/MS, Winter/Summer 2026 Student Researcher Program at Google focusing on academic collaborations and scientific advancement in AI and other research areas. Students will work on exploratory projects to develop solutions for real-world, large-scale problems, potentially contributing to next-generation intelligent systems. | Pretrain | 7 |