Found Description
Responsibilities
- 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.
- 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.
- Design, develop, evaluate and iterate on predictive models for candidate generation and ranking (eg. Click Through Rate and Conversion Rate prediction), including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.
- Design and build supporting/debugging tools as needed.
- Support the production of scalable and optimised AI/machine learning (ML) models.
- Focus on building algorithms for the extraction, transformation and loading of large volumes of re...
Ready to Apply?
Submit your application for Machine Learning Engineer Graduate (Global E-Commerce, Recommendation) - 2026 Start (PhD) at BYTEDANCE PTE. LTD.
Apply Now