Senior Research Scientist, Cloud AI Research

Google Inc.; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google Mountain View, CA seeks a Senior Research Scientist for Cloud AI Research. You’ll design and deploy large-scale experiments, advance autonomous agents, and contribute to foundational AI research with real-world impact.

You’ll publish findings, collaborate with product teams, and mentor junior researchers while advancing state-of-the-art in LLMs, multimodal models, and agentic systems at scale.

Qualifications

• PhD in Computer Science, a related field, or equivalent practical experience.
• 2 years of Experience developing autonomous agents, multi-agent workflows, or agentic frameworks (e.g., AutoGen, CrewAI, LangGraph, tool-use/function-calling, or multi-agent RL).
• Experience designing, pre-training, fine-tuning, or evaluating Large Language Models (LLMs) and multimodal foundation models.
• Two or more first-author scientific publication submission(s) on agents in machine learning and natural language processing for conferences, journals, or public repositories (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP).

Responsibilities

• Conduct foundational agentic research, develop state-of-the-art agent architectures, planning frameworks, and self-improving foundation models to advance autonomous AI systems.
• Solve complex business challenges, design and deliver high-impact vertical agents across core domains (e.g., infrastructure, forecasting, and optimization) targeting operational efficiencies.
• Build generalizable horizontal agents to accelerate researcher velocity and automate end-to-end business value generation across Google.
• Partner with product and engineering teams to translate novel agentic prototypes into scalable enterprise solutions and products.

Skills

Autonomous agents

LLMs & multimodal

Publications

AutoGen

CrewAI

LangGraph

Education

PhD in Computer Science or related field

Tools

AutoGen

CrewAI

LangGraph

Job description

Senior Research Scientist, Cloud AI Research

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Google Mountain View, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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• PhD in Computer Science, a related field, or equivalent practical experience.
• 2 years of Experience developing autonomous agents, multi-agent workflows, or agentic frameworks (e.g., AutoGen, CrewAI, LangGraph, tool-use/function-calling, or multi-agent RL).
• Experience designing, pre-training, fine-tuning, or evaluating Large Language Models (LLMs) and multimodal foundation models.
• Two or more first-author scientific publication submission(s) on agents in machine learning and natural language processing for conferences, journals, or public repositories (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP).

Preferred qualifications:

• Experience building evaluation benchmarks, test harnesses, or simulation environments for complex reasoning, code generation, or multimodal tasks.
• Experience in RL, reward modeling, and human/AI preference alignment techniques (e.g., RLHF, RLAIF, DPO).
• Experience developing test-time/inference-time compute scaling methods, search-guided decoding, or planning algorithms.
• Experience developing safe and reliable AI systems, including adversarial robustness, hallucination mitigation, alignment guardrails, model interpretability.

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. 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.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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. 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.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• Conduct foundational agentic research, develop state-of-the-art agent architectures, planning frameworks, and self-improving foundation models to advance autonomous AI systems.
• Solve complex business challenges, design and deliver high-impact vertical agents across core domains (e.g., infrastructure, forecasting, and optimization) targeting operational efficiencies.
• Build generalizable horizontal agents to accelerate researcher velocity and automate end-to-end business value generation across Google.
• Partner with product and engineering teams to translate novel agentic prototypes into scalable enterprise solutions and products.
• Advance the scientific community, publish breakthroughs at the ML conferences, establish benchmarks, and collaborate across Google.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.