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Google

Just Landed

PhD Software Intern/Student Researcher in Long-Horizon Coding and Computer-Use Multi-Agent Systems — Summer 2027 Google in United States

Degree Level

PhD

Field of study

Computer Science

Funding

The post states that the team has sufficient GPU resources for interns. No stipend, salary, tuition coverage, or other financial terms are specified.

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Country

United States

University

Google

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Keywords

Computer Science
Reinforcement Learning
Multi-agent System
Large Language Models

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About this position

Google Cloud CoreML is seeking a PhD Software Intern/Student Researcher for Summer 2027 to work on long-horizon coding and computer-use multi-agent systems. The project sits at the intersection of large language models, agent post-training, multi-agent coordination, and reliable interaction with complex digital environments.

The research topics include supervised fine-tuning and reinforcement-learning post-training for multi-agent systems, orchestration frameworks, and benchmark development for long-horizon computer-use and coding tasks. The work will address both accuracy and efficiency, with access to substantial GPU resources for interns.

The intern would join the Google Cloud CoreML team and contribute to research on agentic software systems and multimodal intelligence. The post is shared by Mingyuan Wu, who works on agent post-training and multimodal intelligence at Google and identifies the role as part of the team’s recruiting effort.

Funding details

The post states that the team has sufficient GPU resources for interns. No stipend, salary, tuition coverage, or other financial terms are specified.

What's required

Applicants should be PhD students interested in long-horizon coding and computer-use multi-agent systems. Specific degree, technical, or language requirements are not stated in the post. Submitting the interest form does not replace the formal Google Careers application.

How to apply

Complete the Google Summer 2027 intern interest form and also submit the official application through the Google Careers portal, since the interest form does not replace the formal application.

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