算法工程师 - 番茄小说/红果短剧/番茄畅听
Core
Develop core search algorithms for a large-scale content discovery platform serving hundreds of millions of users, focusing on LLM-based search, multimodal retrieval, and ranking.
Role type
Senior IC algorithm engineer (search & LLM)
Builds
Search engine, multimodal content retrieval system, and generative answer modules for novel/short drama platforms
Domain
Internet / Content Streaming / Large Language Models
Deliverable
production ML models
Required skills
Large Language Models, Search Algorithms, Deep Learning, Vector Search, Python, C++, PyTorch
Preferred skills
RAG, RLHF, Inference Optimization, Hybrid Search, Multimodal Retrieval
Technologies
Transformer, BERT, GPT, FAISS, Milvus, vLLM, TensorRT-LLM
Responsibilities
Develop LLM-based search core algorithms including query understanding, semantic retrieval, and generative summarization; Optimize multimodal content retrieval chains including vector and hybrid search; Engineer LLM deployment including model fine-tuning, inference acceleration, and service architecture; Explore advanced directions like conversational search and personalized search; Build search evaluation systems and drive iteration via A/B testing.
