B
Machine Learning Graduate (E-Commerce Governance) - 2026 Start (PhD)
Bytedance
San Jose, California, United States
🏢 Офис
Без опыта
Полная занятость
Продуктовая
Tech
Описание вакансии
Обязанности
•Apply causal inference for personalized recommendations
•Build graph-powered risk networks
•Build unified time-series forecasting models
•Construct heterogeneous graphs for entity relationships
•Detect false advertising and low quality products
•Develop AI powered business suggestions
•Develop LLM based multimodal systems
•Develop multitask models with MMoE
•Improve fraud detection
•Model tabular data for explainability
•Optimize LLM reasoning with DPO
•Optimize LLM reasoning with GRPO
•Optimize warehouse product quality qualification strategies
•Perform time series forecasting for logistics metrics
Технологии: Causal Inference, Cross-modal fusion, DPO, Data Modeling, Fraud Detection, GRPO, Graph Neural Networks, Heterogeneous Graphs, Language Models, Large Language Models, Machine Learning, Mixture of Experts, Multimodal Learning, Multitask Learning, Neural Networks, Risk Assessment, Series forecasting, Tabular Data, Tabular Data Modeling, Time Series, Time Series Forecasting