Description:

Lead the development and optimization of recommendation algorithms and strategies for Binance's information flow and push products.
Apply cutting-edge algorithms to enhance product metrics and user experience.
Manage and coordinate the team to ensure project progress.

Requirements:

Proficient in GO programming language; familiarity with Python/C++/Java is a plus. Strong coding skills with a solid foundation in data structures and algorithms are required.
Familiar with content and user profiling algorithms and strategies, including but not limited to NLP and semantic models.
Understanding of common recall strategies and models in recommendation systems, including CF, FM, LSTM, Graph recall, and DSSM.
Familiar with common ranking models such as LR, GBDT, Wide & Deep, DNN, deepFM, MMOE, DIN, and DICN.
Knowledge of fusion and re-ranking algorithms, including reinforcement learning, evolutionary learning, MMR, and DPP.
Experience with deep learning tools like TensorFlow and PyTorch, with hands-on project experience preferred; experience in recommendation and search-related projects is a plus.
Experience in developing social products is required.
Proven team management experience is necessary.

Be a part of the world’s leading blockchain ecosystem that continues to grow and offers excellent career development opportunities.
Work alongside diverse, world-class talent in an environment where learning and growth opportunities are endless.
Tackle fast-paced, challenging, and unique projects.
Work in a truly global organization, with international teams and a flat organizational structure.
Competitive salary and benefits are provided.
Flexible working hours, remote-first, and casual work attire are available.