About the job
Our E-commerce Recommendation Team is responsible for building up and scaling our recommendation system to provide the best experience for our TikTok users.
Responsibilities
Conduct cutting-edge research in machine learning algorithms, such as retrieval and recommendation algorithms.
Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok.
Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently.
Apply machine learning algorithms to improve the different business scenarios, such as search ranking, natural language and video understanding, and trust and safety.
Qualifications
Minimum
MS/PhD in Computer Science, related technical field or equivalent industrial research experience.
3+ years of working experience in one of the following fields: recommendation algorithm, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.
Preferred
Familiar with at least one of the mainstream deep learning frameworks, like TensorFlow or PyTorch.
Passionate about solving complex and challenging problems