ByteDance's E-commerce Recommendation Team is responsible for building and scaling their recommendation system to provide the best shopping experience for TikTok users.
Requirements
- 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
- Successful candidates must be able to commit to an onboarding date by end of year 2026.
- Please state your availability and graduation date clearly in your resume.
- Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
- Passionate about solving complex and challenging problems
