Machine Learning Engineer Graduate (Search Ads) - 2027 Start
Core
Building large-scale distributed storage and architecture for Search Ads monetization across apps like TikTok and TopBuzz, focusing on NLP, ranking, and ad format optimization.
Role type
Machine Learning Engineer (Search Ads)
Builds
Large-scale Ads system, relevance models, ranking strategies, and ad delivery optimization
Domain
Internet / Search Advertising / Machine Learning
Deliverable
production ML models
Required skills
Machine learning concepts, Go, C/C++, Python, Tensorflow, PyTorch, MXNet, NLP, semantic matching, active learning, multi-modal modeling, ranking strategy, query understanding, CTR/CVR modeling, feature engineering
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 pacing and traffic control algorithms, partner with product teams on strategy
Seniority
Graduate / Entry-level
