Machine Learning Engineer Intern (Search Ads) - 2027 Summer
Core
Building large-scale distributed storage and architecture, NLP, Rank, and IR systems for global search ads monetization across apps like TikTok and TopBuzz.
Role type
Machine Learning Engineer Intern (Search Ads)
Builds
Large-scale Ads system, relevance models, ranking strategies, and ad format innovations
Domain
Search engine monetization, NLP, Machine Learning
Deliverable
production ML models
Required skills
Machine learning concepts, Go/C/C++/Python programming, Tensorflow/PyTorch/MXNet frameworks, semantic matching, active learning, text/photo/video multi-model, ranking strategy, NLP (query classification, seq2seq, NER, knowledge graph), CTR/CVR modeling, feature engineering, ads pacing algorithms
Preferred skills
Ads system, recommendation, searching, ranking
Responsibilities
Develop relevance models and ranking strategies, improve NLP capabilities for query understanding, estimate CTR/CVR accuracy, research ads pacing and traffic control algorithms, partner with product teams on strategy and features
Seniority
Intern
