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Machine Learning Engineer Graduate (E-Commerce Recommendation Live) - 2027 Start (PhD)

Seattle, United States of America💼 Full-time🗓 2026-09-28

Core

Build and optimize recommendation models (recall, pre-ranking, ranking) for live commerce to improve GMV, conversion, and user value.

Role type

PhD-level Machine Learning Engineer (Recommendation Systems)

Builds

Scalable recommendation stack for TikTok Shop live commerce

Domain

E-commerce, Live Commerce, Large-scale AI

Deliverable

production ML models

Required skills

Deep learning frameworks (PyTorch), Python/C++, Recommendation systems, Multimodal learning, Large-scale model training, Data structures and algorithms

Preferred skills

Generative recommendation, Large recommendation models, LLMs, Reinforcement learning, Cross-domain transfer learning, Long-sequence user behavior modeling, Top-tier conference publications

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