LLM Applied Data Scientist (RAG/ NLP)
Core
Research Scientist/Engineer advancing reasoning and planning capabilities of large foundation models via data acquisition, fine-tuning, and reinforcement learning.
Role type
Senior Research Scientist/Engineer (LLM/RAG)
Builds
Enterprise-level generative tasks and model training applications (Customer Service, Token Report, Web3 Domain Models)
Domain
Blockchain/Cryptocurrency + Large Language Models + Information Retrieval
Deliverable
production ML models
Required skills
PyTorch, Python, C++, Information Retrieval, NLP, Deep Learning, RAG, Vector Databases, Multimodal Learning, Graph Retrieval, Reinforcement Learning, System 2 thinking, MCTS, A* decoding
Preferred skills
Publications in top-tier conferences (NeurIPS, ICML, ACL, CVPR, SIGIR, KDD, WWW), ACM/ICPC awards
Technologies
PyTorch, Python, C++, Vector Databases, GraphRAG, MCTS, A*
Responsibilities
Design and optimize data processing and retrieval pipelines for generative tasks; Research and evaluate advanced AI-native retrieval algorithms; Collaborate with infrastructure teams to integrate RAG pipelines into production; Develop and optimize retrieval and ranking pipelines; Participate in LLM training and RAG system development; Apply NLP, CV, and multimodal methods to analyze user-generated content
Seniority
Senior, hands-on IC
