RAG/LLM Data Scientist - Retrieval & AI Systems

Binance; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Remote-first

Health benefits

Professional development

401(k) matching

Global team

Job summary

Binance is seeking a Research Scientist/Engineer to advance foundation models, focusing on reasoning, planning, and data-centric AI. Lead data acquisition, SFT, RL, and evaluation, building robust systems that leverage tools and code interpreters in real-world applications.

You will work across pretraining, SFT, RL stages, and collaborate with cross-functional teams to deploy scalable retrieval and generation capabilities at a global scale.

Qualifications

• Master’s degree in Information Retrieval, NLP, Machine Learning, Computer Vision, Multimodal Learning, or related fields.

Responsibilities

• 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).
• 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).

Skills

PyTorch

Python

C++

Information Retrieval

NLP

Multimodal Learning

Research & Publications

Education

Master’s in Information Retrieval, NLP, ML, CV, Multimodal Learning

Tools

Vector databases

RAG systems

LLM training

Graph retrieval

MCTS / A* decoding

Job description

Binance is seeking a Research Scientist/Engineer to advance foundation models, focusing on reasoning, planning, and data-centric AI. Lead data acquisition, SFT, RL, and evaluation, building robust systems that leverage tools and code interpreters in real-world applications.

You will work across pretraining, SFT, RL stages, and collaborate with cross-functional teams to deploy scalable retrieval and generation capabilities at a global scale.