LLM Applied Data Scientist (RAG NLP)
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Binance is a leading global blockchain ecosystem behind the worlds largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100 countries for our industry-leading security user fund transparency trading engine speed deep liquidity and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education research payments institutional services Web3 features and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
About the Role
We are seeking a highly skilled Research Scientist/Engineer to advance the reasoning and planning capabilities of large foundation this role you will enhance model performance across the entire development lifecycleincluding data acquisition supervised fine-tuning (SFT) reward modelling and reinforcement learningwhile driving innovations in reasoning and decision-making. You will synthesise large-scale high-quality datasets through rewriting augmentation and generation techniques to strengthen foundation models during pretraining SFT and RL stages. A key part of the role involves solving complex tasks usingSystem 2 thinkingand applying advanced decoding strategies such as MCTS and A*. You will design and implement robust evaluation methodologies teach models to interact with external tools APIs and code interpreters and build agents and multi-agent systems capable of addressing sophisticated real-world problems.
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). 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).
Requirement
- Masters 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.
Why Binance
Shape the future with the worlds 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)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application you confirm that you have read and agree to ourCandidate Privacy Notice.
Why Binance
Shape the future with the worlds 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)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application you confirm that you have read and agree to our Candidate Privacy Notice.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Binance is a blockchain ecosystem comprised of Exchange, Labs, Launchpad, Info, Academy, Trust Wallet, and Blockchain Charity Foundation (BCF). Binance Exchange is one of the fastest and most popular cryptocurrency exchange platforms in the world, capable of processing over 1.4 millio ... View more
