LLM Applied Data Scientist (RAG/ NLP)

Binance
Taiwan, Hong Kong, Australia
Workplace: RemoteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Communication","Problem-solving","Curiosity","Teamwork","Learning"]

We are seeking a Research Scientist/Engineer to advance the reasoning and planning capabilities of large foundation models. You will enhance model performance across data acquisition, supervised fine-tuning, reward modelling, and reinforcement learning, while driving innovations in retrieval-augmented generation (RAG), multimodal analysis, and agentic AI. You’ll implement scalable pipelines, evaluate decoding strategies, and apply NLP/CV methods to real-world Binance tasks.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Binance
Binance
11 months ago

LLM Applied Data Scientist (RAG/ NLP)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

We are seeking a Research Scientist/Engineer to advance the reasoning and planning capabilities of large foundation models. You will enhance model performance across data acquisition, supervised fine-tuning, reward modelling, and reinforcement learning, while driving innovations in retrieval-augmented generation (RAG), multimodal analysis, and agentic AI. You’ll implement scalable pipelines, evaluate decoding strategies, and apply NLP/CV methods to real-world Binance tasks.
Location: Taiwan, Hong Kong, Australia
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design, develop, and optimize data processing and retrieval pipelines for enterprise-level generative tasks and model training (embedding, reranking, context engineering, query rewriting)
  • •Research and evaluate advanced AI-native retrieval algorithms to strengthen LLM/VLM capabilities in Binance products
  • •Collaborate with infrastructure and applications teams to integrate RAG pipelines into production systems with scalability and reliability
  • •Develop and optimize retrieval and ranking pipelines (indexing, vector search, retrieval scoring, reranking) to improve user experience
  • •Participate in LLM training and RAG system development, applying techniques like pre-training, SFT, and RL to retrieval/generation tasks

Key Requirements

  • •Master’s in Information Retrieval, NLP, Machine Learning, Computer Vision, Multimodal Learning, or related fields
  • •Proficient in PyTorch with strong coding in Python or C++
  • •Strong communication skills and lifelong learning mindset
  • •Solid foundation in information retrieval, NLP, and deep learning (embeddings, reranking, query understanding)
  • •Hands-on experience with RAG, vector databases, multimodal/graph retrieval, or large-scale AI systems
Experience:AINLPMultimodalLLMsResearch
Education:Master's in Information Retrieval, NLP, ML
Skills:CommunicationProblem-solvingCuriosityTeamworkLearning
Tech Stack:PyTorchPythonC++NLPRAGVector databasesMCTSA*Multimodal

Company Brief

Binance
Operates one of the world’s largest cryptocurrency exchanges, offering spot and derivatives trading, a native token (BNB), wallet services, staking, and a broad suite of crypto financial products and infrastructure.
Industry: Trading Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Unicorn (USD 1B+)
Funding: Bootstrapped
Headquarters: George Town, Cayman Islands
Founded: 2017
WebsiteLinkedIn