{"id":2496546,"url":"https://alion.io/job/binance-llm-applied-data-scientist-rag-nlp-3","title":"LLM Applied Data Scientist (RAG/ NLP)","company":{"id":44,"name":"Binance","domain":"binance.com","url":"https://alion.io/company/binance","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore","Hong Kong"],"countries":["SG","HK"],"hiring_countries":["SG"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":49000,"max_usd":133000,"period":"year","method":"role_country_seniority_unknown","sample_n":112},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Context Engineering","optional":false},{"name":"Embeddings","optional":false},{"name":"GraphRAG","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"Pre-training","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reranking","optional":false},{"name":"Reward Modeling","optional":false},{"name":"SFT","optional":false},{"name":"VLM","optional":false}],"status":"live","first_seen_at":"2026-10-14T02:35:12Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-24T04:29:12Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ 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, and more. Our mission is to increase the freedom of money and financial access for people around the world.\nAbout the Role\nWe are seeking a highly skilled Research Scientist/Engineer to advance the reasoning and planning capabilities of large foundation models. In this role, you will enhance model performance across the entire development lifecycle-including data acquisition, supervised fine-tuning (SFT), reward modelling, and reinforcement learning-while 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 using System 2 thinking and 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.\nWhy Binance\nShape the future with the world’s leading blockchain ecosystem\nCollaborate with world-class talent in a user-centric global organization with a flat structure\nTackle unique, fast-paced projects with autonomy in an innovative environment\nThrive in a results-driven workplace with opportunities for career growth and continuous learning\nCompetitive salary and company benefits\nWork-from-home arrangement (the arrangement may vary depending on the work nature of the business team)\nBinance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.\nBy submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.\nResponsibilities\nDesign, 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.\nResearch 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.\nCollaborate with infrastructure and application teams to integrate RAG pipelines into production systems, ensuring scalability, reliability, and measurable business impact.\nDevelop and optimize retrieval and ranking pipelines (indexing, vector search, retrieval scoring, reranking) to improve user experience.\nParticipate 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.\nApply NLP, CV, and multimodal methods to analyze user-generated content (classification, quality evaluation, trend detection, comment analysis).\nRequirement\nMaster’s in Information Retrieval, NLP, Machine Learning, Computer Vision, Multimodal Learning, or related fields.\nProficient in PyTorch with strong coding skills in Python or C++.\nStrong communication skills, intellectual curiosity, and passion for lifelong learning. Able to identify opportunities and drive cutting-edge retrieval & RAG technologies into real-world applications.\nSolid theoretical foundation in information retrieval, NLP, and deep learning (experience with embeddings, reranking, query understanding preferred).\nHands-on experience with RAG, vector databases, multimodal/graph retrieval, or large-scale AI systems.\nStrong engineering ability to translate research into scalable, production-level systems.\nSelf-driven, able to own projects end-to-end (design → implementation → deployment).\nPublications in top-tier conferences/journals (NeurIPS, ICML, ACL, CVPR, SIGIR, KDD, WWW) are a plus; awards in ACM/ICPC or similar competitions preferred.\nWhy Binance\nShape the future of finance \nCollaborate with world-class talent in a user-centric global organization with a flat structure\nTackle challenging projects in a fast-paced and innovative enviornment with autonomy\nThrive in a results-driven workplace with opportunities for career growth and continuous learning\nCompetitive salary and company benefits\nRemote-first, work-from-home arrangement (may vary depending on the nature of the role and team)\nBinance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.\nBy submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. 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