Staff Machine Learning Engineer

Company Background OKX is innovating global systems with its advanced digital asset exchange, Web3 portal, and blockchain ecosystems. Our mission is to create a fairer, more transparent, and accessible society through blockchain technology. We currently have over 50 million users across 180+ countries, and a team of more than 3000 employees. Our reliability is ensured by Proof of Reserves. As avid supporters of the Arts and Sports, we proudly partner with McLarenF1, ManCity, and Tribeca.

Position Overview We are in search of a highly skilled and experienced Staff Machine Learning Engineer to join our Risk Engineering Team. The ideal candidate will demonstrate expertise in developing and implementing advanced machine learning models for fraud detection such as bot detection, credit card chargeback prevention, and promotion abuse protection.

Responsibilities

• Create, develop, and deploy machine learning models to identify and prevent fraudulent activities.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Improve existing machine learning systems for enhanced performance and scalability.
• Contribute to the design and architecture of data pipelines and infrastructure that support machine learning workflows.
• Research and implement new machine learning techniques and methodologies.
• Mentor junior team members and actively participate in knowledge sharing within the team.

Qualifications

• Minimum 5 years of experience in Machine Learning Engineering.
• Strong proficiency in Python and familiarity with Java.
• Solid understanding of common machine learning models, including expertise in frameworks like LightGBM and XGBoost.
• Experience with SQL and working knowledge of data products such as PostgreSQL, DynamoDB, Kafka, and Redis.
• Familiarity with at least one neural network framework, such as TensorFlow.
• Experience in building and maintaining data pipelines.
• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field.
• Strong problem-solving abilities and the ability to thrive in a fast-paced environment.
• Excellent communication and collaboration skills.

Preferred Skills

• Experience in fraud detection, particularly in areas such as bot detection, credit card chargeback prevention, and promotion abuse protection.

Perks & Benefits

• Competitive total compensation package.
• Learning and development programs and education subsidies for professional growth.
• Various team-building programs and company events.

Salary The salary range for this position is $196,000 to $280,000. The actual salary offered will depend on factors such as the candidate's expertise, skills, experience, and location in the job market. In addition to the salary, there may also be performance bonuses and long-term incentives as part of the compensation package, along with comprehensive medical, financial, and other benefits. Applicants should apply through OKX's internal or external careers site.

Equal Employment Opportunities OKX is committed to providing equal employment opportunities without regard to race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, physical or mental disability unrelated to the job, or protected veteran status. In compliance with the San Francisco Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered for employment.