Research Intern (Summer 2026) at Cua

Cua is building the infrastructure that enables general-purpose AI agents to safely and scalably use real computers and applications. We're a small team backed by Y Combinator and top-tier investors, and our open-source tools are already used by thousands of developers. As a Research Intern , you’ll help prototype, test, and benchmark multi-modal LLM-based agents - from data pipelines to orchestration systems. You’ll collaborate with engineers and researchers to turn cutting-edge ideas into real systems and benchmarks that can be shared with the community. This is a chance to contribute to open-source research, design experiments, and explore the frontiers of agentic AI. Generate and curate large-scale, high-quality multi-modal data (GUIs, browsers, system UIs) Design and test single- and multi-agent systems for data and computer use Automate benchmarking of agent orchestration (with or without human-in-the-loop) Explore new training and inference techniques to boost reasoning and action-taking (e.g., RL-based agents) Develop benchmarks, tools, and datasets to evaluate agentic capabilities on Cua Collaborate with the founding team and contribute to research publications, open-sourc