AI Machine Learning Engineer Graduate (Search) - 2026 Start (PhD)
Core
Building a full-stack search engine system combining information retrieval with modern machine learning methods (NLP, CV, Multimodal, Recommender Systems) to serve users on platforms like TikTok and Douyin.
Role type
PhD-level AI Machine Learning Engineer (Search)
Builds
Full-stack search engine system, multimodal video search capabilities, personalized search recommendation systems
Domain
Internet / Search / Machine Learning / NLP / Computer Vision
Deliverable
production ML models | product features
Required skills
Deep learning model development, C++/Python/Java coding, algorithm & data structures, large-scale offline computing, distributed system optimization, high-throughput online services
Preferred skills
LLM modeling (single-modal/multi-modal), experience in Ads/Search/Recommender Systems, strong publication record in top conferences (ICLR, NeurIPS, ICML, etc.)
Technologies
C++, Python, Java, Deep Learning frameworks, Distributed systems
Responsibilities
Exploring cutting-edge NLP technologies (word segmentation, NER, pre-training, query analysis), developing cross-modal matching technologies for video search, implementing large-scale streaming ML for personalization, optimizing architecture for hundreds of billions of data points, building industry-leading search recommendation systems
Seniority
PhD Graduate, Research & Development
