Machine Learning Engineer, TikTok Brand Ads

What you'll do

• Build and optimize ad retrieval, coarse-ranking, and fine-ranking models.
• Develop large-scale video indexing, retrieval, and content-understanding pipelines for matching ads with videos.
• Apply deep learning and recommendation methods, including Embedding Distillation and Hard Negative Mining, to improve ad relevance and model training.

What they ask for

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

Nice to have

• Technical experience in search, advertising, or recommendation systems, NLP, or LLMs; familiarity with brand ads, content ads, auction, bidding, ranking, or ads forecasting.
• Experience with video understanding projects.

Tools

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

AI focus

Machine learning for ad ranking, recommendation, multimodal content understanding, video indexing and retrieval, and model training optimization.