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Responsibilities:
- Formulate and drive original research directions.
- Design scalable approaches for dynamic, heterogeneous, and large-scale fraud graphs.
- Investigate agentic AI and LLM-augmented systems.
Qualifications:
- Pursuing a PhD in Computer Science, Machine Learning, or related field.
- Strong research foundation in graph representation learning or transformer architectures.
- Strong programming skills in Python.
Preferred Qualifications:
- Publications at top-tier ML/AI/data mining conferences.
- Experience scaling graph-based or transformer-based architectures to large datasets.
- Familiarity with graph learning libraries.
Socure
Socure is building the identity trust infrastructure for the digital economy, verifying identities in real-time and stopping fraud. They hire people who move fast, think critically, act like owners, and care deeply about solving customer problems with precision.