Senior Data Scientist (LLM) - Risk

at  Binance

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 250 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, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
Large Language Models (LLMs) have transformed the way we process and generate text, enabling advanced natural language understanding, automation, and decision-making. At Binance, the world’s leading blockchain ecosystem and cryptocurrency exchange, we continuously explore innovative ways to apply LLMs to solve real-world business challenges.
As a Data Scientist (LLM Specialization), you will leverage cutting-edge LLM technologies to enhance risk management models/strategies, optimize internal workflows, and improve operational efficiency across various business functions. You will collaborate with cross-functional teams to develop AI-driven solutions that make Binance more secure, efficient, and user-friendly. This position will be under our Risk AI team

REQUIREMENTS:

• Master’s or PhD in Statistics, Applied Mathematics, Computer Science, or other related fields.
• 5+ years of experience developing machine learning models at scale from inception to business impact.
• Good experience with Python, Java and/or Scala is preferred (5+ years) with solid project experiences.
• Thorough knowledge of AI-generated content generation, machine learning, and natural language processing.
• Superior analytical and problem-solving abilities.
• Ability to collaborate well across functional lines.
• Good written and verbal communication skills.
• Relevant education and/or certifications in computer science, artificial intelligence, or a related discipline.
• Proven work experience as a LLM engineer or in a related position is a plus.
• Experience with Retrieval-Augmented Generation (RAG)/AI a techniques and tools is a plus.

• Create and develop LLM frameworks and tools for end-to-end solutions.
• Collaborate with cross-functional teams, to integrate advanced LLM solutions into existing systems, ensuring business objective, user demands, seamless operation and maximum impact.
• Track and evaluate LLM based solution performance, identifying areas for improvement.
• Enhance the AI prompt creation process to improve system performance.
• Stay updated with the latest developments in AI, NLP, and machine learning.
• Integrate Retrieval-Augmented Generation (RAG) techniques to enhance the accuracy and relevance of AI-generated content.
• Utilize multimodal models to extract and interpret information from various formats, such as PDFs and images, improving data accessibility and utility.