LLM Applied Data Scientist, RAG/NLP

September 24

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Binance

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Crypto • Fintech

Binance is the world's leading cryptocurrency exchange, serving over 235 million registered users across more than 180 countries. The platform offers a wide array of services, including the trading of over 350 cryptocurrencies in Spot, Margin, and Futures markets. Users can also buy and sell crypto via Binance P2P, earn interest through Binance Earn, and engage in NFT trading on the Binance NFT marketplace. Binance provides low transaction fees and diverse payment options, making it a preferred choice for cryptocurrency enthusiasts worldwide.

1001 - 5000 employees

Founded 2017

₿ Crypto

💳 Fintech

💰 Initial Coin Offering on 2020-12

📋 Description

• Design, develop, and optimize data processing and retrieval pipelines for enterprise-level generative tasks and model training (Customer Service, Token Report, Web3 Domain Models) including 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 work, applying techniques such as pre-training, supervised fine-tuning (SFT), reward modelling, and reinforcement learning to retrieval and generation tasks. • Apply NLP, CV, and multimodal methods to analyze user-generated content (classification, quality evaluation, trend detection, comment analysis). • Advance reasoning and planning capabilities of foundation models using System 2 thinking and advanced decoding strategies such as MCTS and A*. • Design and implement robust evaluation methodologies and teach models to interact with external tools, APIs, and code interpreters. • Build agents and multi-agent systems capable of addressing sophisticated real-world problems.

🎯 Requirements

• Master’s in Information Retrieval, NLP, Machine Learning, Computer Vision, Multimodal Learning, or related fields. • Proficient in PyTorch with strong coding skills in Python or C++. • Strong communication skills, intellectual curiosity, and passion for lifelong learning. • Ability to identify opportunities and drive cutting-edge retrieval & RAG technologies into real-world applications. • Solid theoretical foundation in information retrieval, NLP, and deep learning (experience with embeddings, reranking, query understanding preferred). • Hands-on experience with RAG, vector databases, multimodal/graph retrieval, or large-scale AI systems. • Strong engineering ability to translate research into scalable, production-level systems. • Self-driven, able to own projects end-to-end (design → implementation → deployment). • Publications in top-tier conferences/journals (NeurIPS, ICML, ACL, CVPR, SIGIR, KDD, WWW) are a plus; awards in ACM/ICPC or similar competitions preferred.

🏖️ Benefits

• Shape the future with the world’s leading blockchain ecosystem • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle unique, fast-paced projects with autonomy in an innovative environment • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team) • Committed to being an equal opportunity employer