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

San Jose, United States of AmericaInternship2026-10-08

Core

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

Role type

PhD intern, machine learning engineer (recommendation systems)

Builds

Scalable recommendation stack for TikTok Shop live commerce

Domain

E-commerce, live streaming, recommendation systems

Deliverable

production ML models

Required skills

deep learning frameworks (PyTorch), Python/C++, recommendation systems, large-scale model training, data structures and algorithms

Preferred skills

generative recommendation, large recommendation models, multimodal foundation models, reinforcement learning, long-term value optimization, cross-domain transfer learning, causal inference (via careerplan.io/jobs/7694048048843147573-machine-learning-engineer-intern-e-commerce-recommendation-live-2027-start-phd-at-tiktok)

Technologies

PyTorch, Python, C++