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Last checked 9/24/2026, 4:54:16 AM.
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Role description
Binance is the leading global blockchain ecosystem and cryptocurrency infrastructure provider whose suite of financial products includes the world’s largest digital-asset exchange.
Our mission is to accelerate cryptocurrency adoption and increase the freedom of money.
If you’re looking for a fast-paced, mission-driven organization where opportunities to learn and excel are endless, then Binance is the place for you.
Responsibilities:
• Conduct research on cutting-edge LLM technologies, including but not limited to: large language models and fine-tuning techniques, retrieval-augmented generation (RAG), prompt engineering, and knowledge-grounded dialogue systems.
• Enhance overall performance for foundation models, encompassing data acquisition, model evaluation, SFT, reward modeling, and reinforcement learning.
• Explore new downstream products with AI and AI agent technologies at their core for Binance products.
• Stay up-to-date with the latest academic and industrial advancements in AI, LLMs, etc.
Qualifications:
• Master’s or PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• At least 3-5 years of relevant industry experience in developing Machine Learning models at scale from inception to business impact
• Research experience in LLMs, multi-modal understanding, vision and language, and other related topics.
• Highly competent in algorithms and programming; strong coding skills in Python, C/C++, etc.
Preferred Qualifications
• Experience in NLP and LLM technologies.
• Publications in top-tier venues, such as KDD, CVPR, NeurIPS, ICLR, ICML, EMNLP, ACL, ECCV, ICCV, etc.
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