LLM Applied Data Scientist (RAG/ NLP) at Binance

Hong Kong

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Blockchain, Cryptocurrency, FintechIndustries

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
Able 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

Responsibilities

Design, develop, and optimize data processing and retrieval pipelines for enterprise-level generative tasks and model 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)

Skills

Key technologies and capabilities for this role

RAGNLPSFTReward ModelingReinforcement LearningMCTSA*EmbeddingsRerankingQuery RewritingData PipelinesLLMsAgentsMulti-Agent SystemsAPIsCode Interpreters

Questions & Answers

Common questions about this position

What education is required for this role?

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

What technical skills are needed for the LLM Applied Data Scientist position?

Proficiency in PyTorch and strong coding skills in Python or C++ are required, along with expertise in data processing, retrieval pipelines, RAG, NLP, and machine learning techniques like SFT and reinforcement learning.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What does Binance's company culture emphasize?

Binance emphasizes industry-leading security, user fund transparency, trading engine speed, deep liquidity, and building an inclusive financial ecosystem using digital assets and blockchain.

Binance

Cryptocurrency exchange for trading and earning

About Binance

Binance is a cryptocurrency exchange platform where users can buy, sell, and trade a variety of cryptocurrencies, including Bitcoin and Ethereum. It offers multiple trading options such as Spot, Margin, and Futures markets, along with a peer-to-peer service for direct transactions. Users can also earn interest on their crypto holdings through Binance Earn and trade NFTs in its marketplace. Binance stands out as the largest crypto exchange by trade volume, aiming to provide comprehensive services for both new and experienced traders.

Valletta, MaltaHeadquarters

2017Year Founded

$9.7MTotal Funding

SERIES_ACompany Stage

Crypto & Web3, Financial ServicesIndustries

5,001-10,000Employees