The opportunity
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed,…
What you'll do
Design, develop, and optimize data processing and retrieval pipelines for: enterprise-level generative tasks and mode training applications (Customer Service, Token Report, Web3 Domain Models). This includes embedding, reranking, context engineering, and query rewriting models.
Research and evaluate advanced AI-native retrieval algorithms (e.g.,: low-latency, multimodal retrieval, hierarchical retrieval, GraphRAG) to strengthen large-scale LLM/VLM/Agentic AI capabilities in Binance products.
Collaborate with infrastructure and application teams to integrate RAG: pipelines into production systems, ensuring scalability, reliability, and measurable business impact.
Develop and optimize retrieval and ranking pipelines (indexing, vector: search, retrieval scoring, reranking) to improve user experience.
Participate in LLM training and RAG system , staying current with techniques: such as pre-training, SFT, and reinforcement learning, and apply them to retrieval and generation tasks.
Apply NLP, CV, and multimodal methods to analyze user-generated content: (classification, quality evaluation, trend detection, comment analysis).
