Algorithm Engineer / Search Recommendation - Graduate (Start ASAP)

Job Description

• Participate in and be responsible for various algorithms related to core content scenes, including core algorithm capabilities such as personalized recommendation systems, content ecosystem construction, and content understanding
• Deeply participate in the design of content distribution algorithms to improve the efficiency of traffic matching and user stickiness
• Build recommendation algorithms including recall, rough ranking, fine ranking, re-ranking, and mixed ranking to create industry-leading content algorithms
• Participate in the design of multi-modal content understanding and recommendation distribution systems to promote the solution of content consistency and standardization issues

Position Requirement

Basic Qualifications:

• Proficient in at least one language among Java/C++/Python, familiar with at least one common machine learning framework such as TensorFlow or PyTorch
• Clear logical thinking, strong learning ability, curiosity about new things, and ability to quickly adapt to new environments: good communication skills and teamwork ability; ability to collaborate to achieve common goals.

Preferred Qualifications:

• Prior research and practical experience in related areas such as recommendation systems, machine learning, computer vision, and data mining are preferred.
• Experience in releasing relevant top conference papers is preferred
• Experience of relevant competition experience and winners are preferred