The Data-E-commerce team at TikTok is looking to solve problems related to user engagement, product discovery, risk control, content safety, customer service efficiency, supply chain optimization, and overall transaction process enhancement within their e-commerce platform.
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.
- Implementing risk control and content safety algorithms to identify malicious sellers/influencers and violations in products/videos/live streams, ensuring a secure shopping experience.
- Constructing intelligent customer service technology and large-scale product knowledge graphs, aiming to enhance efficiency across various transaction processes.
- Through operations optimization and intelligent supply chain algorithms, we work to improve logistics efficiency.
Other
- Excellent analytical and problem-solving skills.
- BS/MS/PhD background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
