Research Scientist, TikTok E-Commerce Recommendation

Our E-commerce Recommendation Team is responsible for building up and scaling our recommendation system to provide the best experience for our Tik Tok 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 Tik Tok.
• 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.

Requirements:

Minimum Qualifications:

• 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 Qualifications:

• Familiar with at least one of the mainstream deep learning frameworks, like Tensor Flow or Py Torch.
• Passionate about solving complex and challenging problems