ML Engineer, Crypto Risk & AI Automation

Unchain Data; San Jose (CA); On-site; USD 223,611 - 268,333; Full time

Job summary

OKX is hiring for a machine learning engineer focused on risk. You will design, implement, and deploy ML models across fraud, account takeover, and risk monitoring, ensuring production-grade reliability and explainability.

You will partner with risk strategy, product teams, and operations to implement scalable AI-driven controls and investigations. You will work with Python, PyTorch/TensorFlow, and emerging LLM tooling, contributing to safe, auditable AI practices while scaling models for a

Qualifications

• Proven track record in taking models from prototype to production.
• Strong fundamentals in supervised learning, anomaly detection, and evaluation under drifting data.
• Experience building AI/ML systems in risk, fraud, or security domains is a plus.

Responsibilities

• Design, build, and deploy ML models for risk use cases such as fraud and account takeover.
• Own end-to-end production ML systems including feature pipelines, training, serving, monitoring, and incident response.
• Collaborate with risk strategy and product teams to translate models into production controls and governance.

Skills

Python

ML fundamentals

LLM tooling

Model deployment

Communication

Risk ML experience

Tools

PyTorch

TensorFlow

XGBoost

LightGBM

scikit-learn

Job description

OKX is hiring for a machine learning engineer focused on risk. You will design, implement, and deploy ML models across fraud, account takeover, and risk monitoring, ensuring production-grade reliability and explainability.

You will partner with risk strategy, product teams, and operations to implement scalable AI-driven controls and investigations. You will work with Python, PyTorch/TensorFlow, and emerging LLM tooling, contributing to safe, auditable AI practices while scaling models for a