Machine Learning Engineer, TikTok Brand Ads

What you'll do

• Build video content representations and multimodal representations of brand ads for cross-modal alignment.
• Implement large-scale video indexing and retrieval, and content-understanding pipelines for high-volume processing.
• Improve model training using techniques such as Embedding Distillation and Hard Negative Mining.

What they ask for

• BS degree in Computer Science, Computer Engineering, or another relevant major, with related work experience.
• Programming, debugging, and optimization skills in one or more general-purpose languages, including Go, C/C++, or Python.
• Relevant professional experience in machine learning, data mining, data analysis, or distributed systems.
• Experience in at least one listed area, such as machine learning, deep learning, NLP, ranking or recommendation systems, backend, large-scale systems, data science, or full-stack.

Nice to have

• Technical background or experience in NLP, LLM, search, advertising, or recommendation systems.
• Understanding of brand ads, content ads, auction, bidding, ranking, or ads forecasting; video-understanding projects or top-tier conference publications are also valued.

Tools

Go, C/C++, Python, Embedding Distillation, Hard Negative Mining

AI focus

Develop and apply multimodal large language and video models for content understanding, cross-modal alignment, ad matching, retrieval, ranking, and inference optimization.