Job Summary
The position entails the development, assessment, and implementation of machine learning models and artificial intelligence agents aimed at identifying fraudulent activities and safeguarding users within an international cryptocurrency exchange. The role requires a collaborative effort with various teams to enhance data quality, streamline workflows, and evaluate the effectiveness of risk management solutions.
Responsibilities
- Develop and evaluate machine learning models geared toward fraud detection.
- Implement AI agents to bolster user protection.
- Collaborate across teams to enhance the overall quality of data.
- Automate workflows to improve efficiency and effectiveness of risk solutions.
- Monitor and analyze the impact of implemented risk solutions.
Qualifications
- Strong background in machine learning, with hands-on experience in deep learning techniques.
- Proficient in tree-based models, specifically XGBoost.
- Expertise in Python programming.
- Prior experience working with artificial intelligence agents or large language model (LLM) applications.
OKX provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
