Senior Research Scientist, Conversational and Agentic Systems, Google Research

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. In this role, you will conduct research within the area of user-facing conversational and agentic systems. You will develop novel modeling and algorithmic techniques that advance in the design and deployment of user-facing interactive systems, including research in at one or more related areas, such as user modeling and simulation, multi-turn optimization and reinforcement learning, agent (including multiagent) architectures, recommender systems. You will collaborate broadly with other Researchers, Software Engineers, Research Software Engineers and Product Managers to translate research and prototypes into robust, scalable, and production-ready AI systems. Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google . Help in growing research business by sharing research trends and best practices within the community. Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed. Work with other Researchers, Engineers and Product Managers in collaborative teams to identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them. Research at the intersection of user-facing conversational and agentic systems, user modeling and multi-turn optimization. Partner with Search, Cloud, YouTube and other product teams to help move projects from theory/proof-of-concept to product applications. Minimum qualifications: PhD in Computer Science, a related field, or equivalent practical experience. 2 years of experience leading a research agenda. One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). Preferred qualifications: PhD degree in Machine Learning, Artificial Intelligence, other related fields, or equivalent practical experience. 3 years of experience with research agendas that span multiple teams or projects. 2 years of experience in coding. Research and practical experience with one or more of the following: reinforcement learning, planning in agentic systems, foundation models, user modeling. Track record of contributing to research communities or efforts, including regularly publishing papers at conferences. Strong communication skills.