Analytical and Problem solving, Apache Kafka, Data pipelines, Design, DynamoDB, Effective communication skills, Java Programming, Machine learning techniques, PostgreSQL, Python Programming, REDIS, TensorFlow
About the Opportunity
We are seeking a highly skilled and experienced Staff Machine Learning Engineer to join our Risk Engineering Team. The ideal candidate will be adept in developing and implementing advanced machine learning models to enhance our capabilities in fraud detection, for example bot detection, credit card chargeback prevention, promotion abuse protection and so on.
What You’ll Be Doing
What We Look For In You
Nice to Haves
Perks & Benefits
OKX Statement
The salary range for this position is $196,000 to $280,000. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment-qualified applicants with arrest and conviction records.
OKX is a world-leading digital asset exchange, providing advanced financial services to traders worldwide leveraging blockchain technology. Our platform offers spot & derivatives trading helping traders optimize their strategy. It provides a safe, reliable and stable environment for digital assets trading via web interface and mobile app by adopting GSLB, and distributed server clusters.