TikTok is looking to solve the problem of utilizing recommendation and search algorithms to help users discover appealing products, implementing risk control and content safety algorithms, and constructing intelligent customer service technology to enhance efficiency across various transaction processes in e-commerce.
Requirements
- Strong foundation in machine learning and deep learning, with experience in: NLP (Natural Language Processing).
- Exceptional coding skills with solid knowledge of data structures and algorithms.
- Proficiency in Linux development environments.
- Prior experience in search, recommendation, or advertisement algorithms.
- Familiarity e-commerce businesses.
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
- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Excellent analytical and problem-solving skills.
- Commit to an onboarding date by end of year 2026.
- Ability to interact and occasionally have unsupervised contact with internal/external clients and/or colleagues.
- Ability to appropriately handle and manage confidential information including proprietary and trade secret information and access to information technology systems.
