Research Scientist, Cloud AI Research

Google; Sunnyvale (CA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google in Sunnyvale, CA is seeking a Research Scientist for Cloud AI Research to advance autonomous agents, multi-agent workflows, and large language/multimodal models. You will design experiments, prototype architectures, and publish findings while collaborating with product and engineering teams.

This role offers exciting work on real-world problems across ML, NLP, hardware and software performance, with opportunities to present at conferences and contribute to the wider research community.

Qualifications

• PhD or equivalent practical experience required.
• Experience developing autonomous agents or multi-agent workflows.
• Experience designing and evaluating LLMs and multimodal models.
• Proficient in Python, JavaScript, R, Java, or C++.
• First-author ML/NLP publications at major venues.

Responsibilities

• Develop agent architectures and self-improving foundation models.
• Design vertical agents for infrastructure, forecasting, and optimization.
• Build horizontal agents to accelerate researcher velocity.
• Collaborate with product and engineering teams to scale prototypes.
• Publish breakthroughs at ML conferences and establish benchmarks.

Skills

Python

Java

JavaScript

C++

ML research

Education

PhD in Computer Science or related field

Tools

AutoGen

CrewAI

LangGraph

tool-use/function-calling

multi-agent RL

Job description

Research Scientist, Cloud AI Research

Google

Sunnyvale, CA, USA

Mid

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

Minimum qualifications:

• PhD in Computer Science, a related field, or equivalent practical experience.
• 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.
• Experience writing code in Python, JavaScript, R, Java, or C++.
• One 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, 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.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Develop agent architectures, planning frameworks, and self‑improving foundation models to advance autonomous AI systems.
• Design and deliver vertical agents across core domains (e.g., infrastructure, forecasting, and optimization) targeting operational efficiencies.
• Build generalisable 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.
• Publish breakthroughs at ML conferences, establish benchmarks, and collaborate across Google.

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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.

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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.

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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.