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LLM Data Scientist/Algorithm Engineer

Remote Full-time

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Experience Level

Experience

Qualifications

The ideal candidate will possess a strong background in data science or algorithm engineering, with proven experience in developing and optimizing Large Language Models. Proficiency in programming languages such as Python and familiarity with machine learning frameworks are essential. A deep understanding of AI technologies, data analysis, and model evaluation metrics will set you apart. Strong problem-solving skills, creativity, and the ability to work collaboratively in a fast-paced environment are crucial for success in this role.

About the job

Join Binance, a pioneering force in the global blockchain ecosystem, as an LLM Data Scientist and Algorithm Engineer. In this dynamic role, you will leverage innovative artificial intelligence solutions to develop and refine Large Language Models (LLMs). Your expertise will drive actionable insights, enhance business decision-making processes, and optimize prompt design for superior output accuracy. Additionally, you will create scalable and robust LLM/RAG frameworks tailored for customer service scheduling, fostering innovation and ensuring our competitive edge in the market. Embrace the opportunity to work 100% remotely, contributing to a mission focused on enhancing financial access worldwide.

About Binance

Binance stands at the forefront of the global blockchain landscape, powering the world's largest cryptocurrency exchange by trading volume and user registrations. Trusted by over 300 million users across 100+ countries, we pride ourselves on our industry-leading security measures, transparency in user fund management, lightning-fast trading engine, substantial liquidity, and an unmatched array of digital asset products. Our offerings span trading, finance, education, research, payments, institutional services, and Web3 features, all aimed at building an inclusive financial ecosystem that champions the freedom of money and broadens financial access for individuals around the globe.

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