The Role
Conduct research and development on LLM technologies (RAG, prompt engineering, knowledge-grounded dialogue). Improve foundation model performance via data acquisition, evaluation, SFT, reward modeling, and RL. Prototype downstream AI/agent products for Binance and track academic and industry advances.
Summary Generated by Built In
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.
- Experience in NLP and LLM technologies.
- Publications in top-tier venues, such as KDD, CVPR, NeurIPS, ICLR, ICML, EMNLP, ACL, ECCV, ICCV, etc.
Preferred Qualifications
Skills Required
- Master's or PhD in Software Development, Computer Science, Computer Engineering, or related technical discipline
- 3-5 years relevant industry experience developing machine learning models at scale from inception to business impact
- Research experience in LLMs, multi-modal understanding, vision and language, and related topics
- Strong algorithms and programming skills; strong coding in Python and C/C++
- Experience in NLP and LLM technologies
- Publications in top-tier venues (KDD, CVPR, NeurIPS, ICLR, ICML, EMNLP, ACL, ECCV, ICCV)
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The Company
