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Data ScientistLLM

5.00 to 10.00 Years Singapore (Singapore), Taiwan (Taiwan) 27 May, 2025

Job Location	Singapore (Singapore), Taiwan (Taiwan)
Education	ML/ LLM (Law)Any Graduate
Salary	As per Industry Standards
Industry	IT-Software
Functional Area	IT Software : Software Products & Services
EmploymentType	Full-time

Job Description

Position: Data Scientist (LLM)Location: Singapore / Taiwan, TaipeiDepartment: Engineering Data Science/AIEmployment Type: Full-time Onsite or Remote / HybridBinance is the leading global blockchain ecosystem and cryptocurrency infrastructure provider whose suite of financial products includes the worlds largest digital-asset exchange.Our mission is to accelerate cryptocurrency adoption and increase the freedom of money.If youre 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

Masters or PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
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.

Keyskills :
large language models fine tuning techniques python programming nlp technologies research experiencealgorithms infrastructure

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