Google
Senior Research Scientist, AI Coding Agents, Jules, Labs
Google, Boulder, Colorado, United States, 80301
Senior Research Scientist, AI Coding Agents, Jules, Labs
The application window will be open until at least September 29, 2025. This opportunity will remain online based on business needs which may be before or after the specified date. Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA; Boulder, CO, USA; New York, NY, USA . Minimum qualifications: PhD degree in Computer Science, a related field, or equivalent practical experience. 2 years of experience leading a research agenda. Experience in one or more of the following areas: machine learning, large language models, agentic AI (planning, tool use, memory), reinforcement learning (RLHF, RLVF, RLGF, offline RL), or statistical learning. One or more scientific publication submissions for conferences, journals, or public repositories (such as NeurIPS, ICML, ICLR, etc.). Preferred qualifications: Experience with original, long-term research agenda, evidenced by first-author publications that have introduced novel ideas. Experience building, training, and post-training large language models (LLMs). Experience with program analysis, program synthesis, automated program repair, formal methods, or designing developer tools. Experience designing and implementing novel evaluation benchmarks for LLMs, generative code models or agentic systems. Experience in Python software engineering and modern ML frameworks like JAX and TensorFlow. About The Job 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. Our team exists to revolutionize how software is designed, developed, and maintained. We are looking for an outstanding, highly-motivated Research Scientist to join the Jules AI team, do foundational and applied research and help build the world's most capable and reliable AI coding agent. In this role, you will be working closely with software engineers, research software engineers and program managers to translate research and prototypes into robust, scalable, and production-ready AI systems. Responsibilities Define and pursue a long-term applied research agenda to overcome fundamental limitations of LLMs in long-horizon reasoning, planning, and tool use for complex software engineering tasks. Design and implement novel agentic architectures, exploring frontiers such as automated workflow optimization, multi-agent decomposition, and self-improvement. Lead research into synthetic data generation, verification methods/environments and rewards for building data and capability flywheels for Gemini improvement. Develop high-fidelity evaluation frameworks that measure agent impact to software quality and developer productivity. Integrate principles from adjacent domains like machine learning, natural language processing, program analysis, program repair, formal methods for addressing ambiguous tasks (such as semantic bug fixing, intent inference, task decomposition). Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
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The application window will be open until at least September 29, 2025. This opportunity will remain online based on business needs which may be before or after the specified date. Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA; Boulder, CO, USA; New York, NY, USA . Minimum qualifications: PhD degree in Computer Science, a related field, or equivalent practical experience. 2 years of experience leading a research agenda. Experience in one or more of the following areas: machine learning, large language models, agentic AI (planning, tool use, memory), reinforcement learning (RLHF, RLVF, RLGF, offline RL), or statistical learning. One or more scientific publication submissions for conferences, journals, or public repositories (such as NeurIPS, ICML, ICLR, etc.). Preferred qualifications: Experience with original, long-term research agenda, evidenced by first-author publications that have introduced novel ideas. Experience building, training, and post-training large language models (LLMs). Experience with program analysis, program synthesis, automated program repair, formal methods, or designing developer tools. Experience designing and implementing novel evaluation benchmarks for LLMs, generative code models or agentic systems. Experience in Python software engineering and modern ML frameworks like JAX and TensorFlow. About The Job 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. Our team exists to revolutionize how software is designed, developed, and maintained. We are looking for an outstanding, highly-motivated Research Scientist to join the Jules AI team, do foundational and applied research and help build the world's most capable and reliable AI coding agent. In this role, you will be working closely with software engineers, research software engineers and program managers to translate research and prototypes into robust, scalable, and production-ready AI systems. Responsibilities Define and pursue a long-term applied research agenda to overcome fundamental limitations of LLMs in long-horizon reasoning, planning, and tool use for complex software engineering tasks. Design and implement novel agentic architectures, exploring frontiers such as automated workflow optimization, multi-agent decomposition, and self-improvement. Lead research into synthetic data generation, verification methods/environments and rewards for building data and capability flywheels for Gemini improvement. Develop high-fidelity evaluation frameworks that measure agent impact to software quality and developer productivity. Integrate principles from adjacent domains like machine learning, natural language processing, program analysis, program repair, formal methods for addressing ambiguous tasks (such as semantic bug fixing, intent inference, task decomposition). Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
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