[ research ]

Research Intern (summer 2026)

Cua
Location
San Francisco, California, Us
Work mode
On-site
Type
intern
Listed

Applications go directly to Cua. Ramai takes no fee for placement and no money for ranking.

[ About this role ]

Research Intern at Cua, a company building infrastructure for AI agents. This role involves prototyping, testing, and benchmarking multi-modal LLM-based agents, from data pipelines to orchestration systems. The intern will collaborate with engineers and researchers to turn cutting-edge ideas into real systems and benchmarks for open-source research.

Skills and focus areas

  • multi-modal data generation
  • data curation
  • agent system design
  • agent system testing
  • benchmarking
  • orchestration
  • human-in-the-loop systems
  • reinforcement learning
  • reasoning
  • action-taking
  • training techniques
  • inference techniques

Summary written by Ramai from the original posting. Full details and requirements are on Cua’s careers page.

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