Java, Machine Learning, C++, Natural Language Processing, Deep Learning, Tensorflow, Pytorch, Information Retrieval, Python, Semantic Query Understanding, Distributed Training, Search Systems, Task Planning, Tool Invocation, Multi-stage Retrieval, RAG Retrieval, Recommendation Systems, ranking, Relevance Filtering, Data Augmentation, Multi-objective Ranking

online learning , causal inference , Machine Learning, Coding, Multi-Task Learning, reinforcement learning, Optimization, Recommendation Systems, Time-Series Forecasting, Deep Learning Frameworks, Search, Operations Research, Advertising, Spatio-Temporal Data Mining

Pytorch, Python, Sql, regression comparison pipelines, Memory, search code interpreters, data pipelines, LLM Agents, error attribution, evaluation-guided Agent optimization, sandboxes, Verification, human annotation, verl, self-refine tool, post-training of LLMs, Agent reliability analysis, reward model design, LLaMA-Factory, RAG retrieval systems, context engineering, vLLM, training and inference frameworks, uncertainty estimation, benchmark construction, Harness design, MCP, FSDP

causal inference , Machine Learning, Tensorflow, Pytorch, Python, real-time algorithm deployment, advertising optimization, search algorithms, a/b testing, reinforcement learning, recommendation systems, multi-task learning, time series forecasting, online learning systems

evaluation metrics (CTR, NDCG), Tensorflow, Pytorch, Elasticsearch, Python, Spark, Search Engines, Faiss, vector databases, Flink, Wide Deep, statistical A/B experimentation methodologies, Two-Tower Recall, Multi-Objective Ranking, DeepFM, unified vector embeddings, Recall, DIN, cross-lingual semantic retrieval, a/b testing, CVR, user behavior sequence modeling, multi-lingual vector search, real-time offline computing frameworks, multi-lingual query parsing, Milvus, feature engineering