The Data-E-commerce team at TikTok is looking to solve complex challenges in the e-commerce business by leveraging machine learning and AI. This includes improving product discovery through recommendation and search algorithms, ensuring a secure shopping experience by identifying malicious actors and violations, enhancing customer service with intelligent technology, building large-scale product knowledge graphs, and optimizing logistics through intelligent supply chain algorithms.
Requirements
- Strong foundation in machine learning and deep learning, with experience in: NLP (Natural Language Processing).
- Personalization.
- 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.
- Successful candidates must be able to commit to an onboarding date by end of year 2026.
- Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply.
- The application limit is applicable to TikTok and its affiliates' jobs globally.
