AI Senior/Staff Engineer (Recommendation)

Job Description

OKX is seeking a Senior/Staff Engineer to join their Recommendation Team in Hong Kong. This role involves developing and optimizing large-scale recommendation algorithms to enhance user experiences on the OKX platform. The ideal candidate will be passionate about recommendation systems, machine learning, and large-scale AI applications.Role involves:

• Developing and optimizing recommendation algorithms.
• Implementing retrieval, ranking, and re-ranking models.
• Applying sequence-based models.
• Improving recall mechanisms.
• Leveraging multi-modal learning.
• Collaborating with cross-functional teams.
• Running A/B tests.
• Enhancing system efficiency and scalability.
• Staying updated with the latest research.

Requirements:

• 5+ years of experience in recommendation systems, machine learning, or related AI fields.
• Hands-on experience with machine learning models.
• Familiarity with retrieval, ranking, re-ranking, and cold-start problem solutions.
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Proficiency in big data processing (Spark, Hive, Hadoop) and large-scale distributed computing.
• Understanding of user behavior modeling, multi-modal learning, and reinforcement learning for recommendations.
• Strong analytical and problem-solving skills.
• Excellent communication skills.

OKX offers:

• Competitive total compensation package
• L&D programs and Education subsidy
• Team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes