Graph Learning Research Intern

New

Skills

Deep Learning

Job Overview

Join our team as a PhD Research Intern focused on graph learning for fraud detection. Explore cutting-edge technologies and contribute to impactful research in the field.

Responsibilities
  • Design scalable and dynamic fraud graphs
  • Investigate agentic AI and risk reasoning
  • Develop robust learning for challenging environments
  • Empirical evaluation on large datasets
  • Translate research into system-level implications
Requirements & Qualifications
  • Strong foundation in graph learning (GNNs/graph transformers)
  • Experience with transformer architectures and deep learning
  • Familiarity with LLMs and agentic AI systems
  • Knowledge of adversarial, robust, or trustworthy ML
  • Demonstrated research capability with publications

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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