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Machine Learning Engineer - E-Commerce Recommendation Live

Seattle, United States of AmericaFull-time2026-10-08

Core

Design and scale large recommendation models, generative retrieval, and LLM agents for TikTok Shop LIVE to drive GMV and creator success in real-time.

Role type

Senior IC machine learning engineer (recommendation systems)

Builds

Unified recommendation stack for live commerce surfaces including For You feed, LIVE entries, and discovery feeds

Domain

E-commerce, live streaming, large-scale recommendation

Deliverable

production ML models

Required skills

Large recommendation models, generative recommendation, LLM/multimodal modeling, sequential user modeling, reward modeling, reinforcement learning, LLM agents, distributed training, model optimization

Preferred skills

E-commerce/live-streaming recommendation, LLM post-training (SFT/DPO/RLHF), LLM agents, cross-domain transfer, LTV modeling, large-scale inference efficiency (via careerplan.io/jobs/7694055448622647557-machine-learning-engineer-e-commerce-recommendation-live-at-tiktok)

Technologies

PyTorch, TensorFlow, Python, C++