Who We Are
At OKX, we believe cryptocurrency will reshape the future by enhancing individual freedom. As a leading crypto exchange and developer of OKX Wallet, we empower millions to trade crypto and access decentralized applications (dApps). Trusted by hundreds of institutions, we prioritize security with Proof of Reserves. Our global team thrives on core values: We Before Me, Do the Right Thing, and Get Things Done—creating a dynamic, inclusive workplace for every "OK-er."
About the Opportunity
Join our Risk Engineering Team as a Senior/Staff Machine Learning Engineer to lead fraud detection initiatives like bot detection, credit card chargeback prevention, and promotion abuse protection. This role combines technical leadership with hands-on ML pipeline development, deployment, and monitoring in production environments.
👉 Explore crypto innovation at OKX
Key Responsibilities
- End-to-End ML Pipelines: Design scalable, reliable systems for model development and deployment.
- Performance Monitoring: Build real-time tracking systems to evaluate model success and drive improvements.
- Lifecycle Management: Oversee model versioning, retraining, and production performance.
- Data Integrity: Collaborate on data validation pipelines to ensure high-quality inputs.
- Cross-Functional Leadership: Translate business needs into technical solutions alongside product and engineering teams.
- Mentorship: Guide junior engineers through code reviews and skill development.
Qualifications
Core Requirements
- 5+ years in Machine Learning Engineering.
- Expertise in ML Ops tools (e.g., Flyte, Airflow, MLflow).
- Proficiency in Python; familiarity with Java.
- Strong knowledge of data validation and pipeline development.
- Experience deploying models in production environments.
- Understanding of CI/CD for ML workflows.
- SQL skills and experience with PostgreSQL, DynamoDB, Kafka, or Redis.
- Background in A/B testing and model drift detection.
Preferred Skills
- Cloud platforms (AWS, GCP, Azure) and Kubernetes/Docker.
- Fraud detection expertise (e.g., bot behavior analysis, chargeback patterns).
Perks & Benefits
- Competitive salary ($126,000–$273,923) + performance bonuses.
- L&D programs and education subsidies.
- Team-building events and wellness initiatives.
FAQs
1. What fraud detection areas will I work on?
You’ll focus on bot detection, promotion abuse, and credit card chargeback prevention using advanced ML models.
2. Is remote work available?
Yes, OKX supports flexible work arrangements across global offices.
3. How does OKX ensure model accuracy?
We implement rigorous data validation, real-time monitoring, and periodic retraining protocols.
4. What career growth opportunities exist?
Roles expand into architectural leadership or specialization in crypto risk analytics.
5. How is team collaboration structured?
Cross-functional pods (engineering, product, data science) align via agile sprints.
OKX is an equal-opportunity employer. We value diversity and comply with the San Francisco Fair Chance Ordinance.
Apply via OKX careers portal.