Research Scientist - TikTok E-Commerce Recommendation Foundation

What you'll do

• Build and optimize shared foundation models for unified recommendation and efficient inference.
• Advance event-sequence-driven generative recommendation using multimodal understanding and generative capabilities.
• Apply LLMs/VLMs to recommendation stages and research model training, inference, and system optimization.

What they ask for

• MS/PhD in Computer Science or a related technical field, or equivalent industrial research experience.
• Solid theoretical foundation in machine learning, deep learning, or information retrieval.
• Proficiency in Python and familiarity with mainstream deep learning frameworks such as PyTorch.
• Strong interest in intelligent recommendation systems and a self-driven research mindset.

Nice to have

• Experience developing large-scale recommendation systems or training large models, with notable technical achievements.
• Research or publications in LLMs, multimodal learning, reinforcement learning, or generative recommendation; familiarity with LLM or foundation-model pre-training and post-training.

Tools

Python, PyTorch, LLMs, VLMs

AI focus

Research and develop foundation models, event-sequence-driven generative recommendation, multimodal understanding, and adaptive recommenders using LLMs/VLMs and reinforcement learning.