Data Scientist (LLM)

10 Months ago • All levels
Data Analysis

Job Description

Binance, a leading global blockchain ecosystem and cryptocurrency infrastructure provider, is seeking a Data Scientist with expertise in Large Language Models (LLMs). The role involves researching cutting-edge LLM technologies like fine-tuning, RAG, prompt engineering, and knowledge-grounded dialogue systems. Responsibilities include enhancing foundation model performance through data acquisition, model evaluation, SFT, reward modeling, and reinforcement learning. The position also entails exploring new AI and AI agent-based products for Binance offerings and keeping abreast of the latest advancements in AI and LLMs.
Good To Have:
  • Publications in top-tier AI/ML venues
Must Have:
  • Research LLM technologies (fine-tuning, RAG, prompt engineering)
  • Enhance foundation model performance (data acquisition, evaluation)
  • Explore new AI products
  • Stay updated on AI/LLM advancements
  • Experience in NLP and LLM technologies

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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.

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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