Research Intern (Summer 2026)

Cua
San Francisco
Workplace: HybridInternshipUSD 8,000 - 9,252 monthlyFunction: Research & Scientific (R&D)Skills: []

Join a YC-backed AI research team to prototype, test, and benchmark multi-modal LLM-based agents. Collaborate with engineers and researchers to design experiments, build benchmarks, and contribute to open-source tools and publications. This paid internship offers hands-on experience with PyTorch, Python, and cloud compute while exploring agent systems and generative AI at the frontier of AI research.

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FursaFursa
Cua
Cua
1 year ago

Research Intern (Summer 2026)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Join a YC-backed AI research team to prototype, test, and benchmark multi-modal LLM-based agents. Collaborate with engineers and researchers to design experiments, build benchmarks, and contribute to open-source tools and publications. This paid internship offers hands-on experience with PyTorch, Python, and cloud compute while exploring agent systems and generative AI at the frontier of AI research.
Location: San Francisco
Workplace: Hybrid
Employment Type: Internship
Job Function: Research & Scientific (R&D)
Seniority: Intern level

Key Responsibilities

  • •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

Pay and Benefits

Salary: USD 8,000 - 9,252 monthly
Equity and Bonus:Equity

Key Requirements

  • •Currently a PhD student in Computer Science or related field (strong Master’s considered)
  • •Experience in applied research with a solid publication record
  • •Familiarity with modern multi-modal or reasoning agents (e.g., OS-Atlas, Qwen, GUI-R1)
  • •Hands-on experience with PyTorch, Python, and cloud compute (AWS, GCP, etc.)
  • •Comfortable designing experiments, evaluating models, and working with multi-modal data
Experience:Open-sourceAIMachine learning
Tech Stack:PyTorchPythonAWSGCP

Eligibility

Visa:US citizen/visa only
Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Cua
Cua develops AI-driven software and services focused on applying machine learning models to automate tasks, extract insights, and streamline workflows for businesses. Their platform offers intelligent automation and data-driven decision support to improve operational efficiency.
Industry: AI & Machine Learning
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