Machine Learning Engineer — Risk & AI
Core
Build machine learning systems for fraud and risk detection at a global crypto exchange, including real-time models and AI agents for investigations.
Role type
Senior IC machine learning engineer (risk & AI)
Builds
Production ML models for fraud/risk detection and AI agents for automated investigations
Domain
Fintech / Cryptocurrency / Risk Management
Deliverable
production ML models
Required skills
Deep learning, XGBoost, LightGBM, Python, AI agents, LLM applications, tool calling, retrieval, workflow automation, database management, data pipelines
Preferred skills
Account takeover (ATO) detection, scam detection, LLM fine-tuning, reinforcement learning, real-time ML systems, model explainability, Mandarin fluency
Technologies
XGBoost, LightGBM, LLMs, Python
Responsibilities
Build, evaluate, and deploy machine learning models for fraud and risk detection; Improve data quality, features, and model performance; Develop AI agents to support investigations and automate workflows; Use AI coding tools to accelerate development; Work with cross-functional teams to deploy and monitor solutions
Seniority
Senior, hands-on IC
