ByteDance's E-commerce Recommendation Team is looking to build and scale recommendation systems to enhance the shopping experience for TikTok users.
Requirements
- Currently pursuing Master's degree in Computer Science, related technical field or equivalent industrial research experience;
- Experience in one of the following fields: recommendation systems, online advertising, information retrieval, natural language processing, computer vision, machine learning, large-scale data mining, or related fields preferred;
- Familiar with at least one of the mainstream deep learning frameworks, such as TensorFlow or PyTorch;
Responsibilities
- Work in a team to 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.
Other
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Must be able to commit to a 12-week full-time work period during Summer 2026
- Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply.
- Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible.
- Please state your availability clearly in your resume (Start date, End date).
