• User behavior and pattern analysis: KYC, Anti-Money Laundry, and abnormal user automated recognition to provide our users with safe and more accurate information service
• Digital data asset: obtain the blockchain based data to perform chain-based data analysis, prediction and recommendations.
• Personalized recommender system: leverage of our PB-scale data warehouse to perform in-depth analysis and recommender system for our end-users
• Data driven customer feedback and satisfaction analysis: leverage of machine learning techniques to understand customer’s feedback and satisfaction with proven data evidence and analysis

Responsibilities

• Responsible for designing and managing search recommendation services and models
• Knowledge of machine learning powered personalization methods, design patterns and tools
• In-depth understanding of Recommendation systems with the business domain knowledge to take the impact of AI product to the next level
• Drive the development of core modules with data-driven strategy to maximize the impact
• Identify the needs and opportunities, define success metrics with Business and Product management teams

Requirements

• MSc or Phd in Machine Learning, Computer Vision, Computer Science or Applied Mathematics with at least 8 years of relevant industry experience
• Excellent hands-on experience with popular Machine Learning frameworks such as PyTorch or TensorFlow
• Bilingual English/Mandarin is required to be able to coordinate with internal and external stakeholders.
• Experienced in leading a team
• Experience with application development practices at scale
• Good global team collaboration skills and experiences are good add-ons as well
• Publication record at top conferences and journals is a plus

• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.