Algorithm Engineer, E-commerce Knowledge Graph - USDS
TikTok
Office
San Jose, California, United States
Full Time
About the team
Our team enhances the recognition capabilities for users, products, short videos, and more, in order to recommend more suitable products to users and provide them with an excellent shopping experience.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
Responsibilities:
- Construct user profiling system to accurately depict each user's shopping interests by analyzing their behavioral patterns, preferences, and consumption habits during the shopping process.
- Utilise NLP, CV, and multimodal technologies to enhance understanding of short video content and products, supporting search, recommendation, and end-to-end shopping experiences in the marketplace.
- Explore large-scale and high-quality pretraining datasets in specific verticals of e-commerce, leveraging the power of the Byte Universal Model to develop industry-specific models for e-commerce.
- Discover new scenarios for interactive shopping experiences in e-commerce through these innovations.
Our team enhances the recognition capabilities for users, products, short videos, and more, in order to recommend more suitable products to users and provide them with an excellent shopping experience.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
Responsibilities:
- Construct user profiling system to accurately depict each user's shopping interests by analyzing their behavioral patterns, preferences, and consumption habits during the shopping process.
- Utilise NLP, CV, and multimodal technologies to enhance understanding of short video content and products, supporting search, recommendation, and end-to-end shopping experiences in the marketplace.
- Explore large-scale and high-quality pretraining datasets in specific verticals of e-commerce, leveraging the power of the Byte Universal Model to develop industry-specific models for e-commerce.
- Discover new scenarios for interactive shopping experiences in e-commerce through these innovations.
Algorithm Engineer, E-commerce Knowledge Graph - USDS
Office
San Jose, California, United States
Full Time
September 10, 2025