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Binance Accelerator Program - LLM Data Scientist
Asia / Taiwan, Taipei
Engineering â Data Science/AI /
Binance Accelerator Program /
Remote
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Binance is a leading global blockchain ecosystem behind the worldâs largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 230 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.
About Binance Accelerator Program
Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worldsâ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program HERE
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Who may apply
 Current university students and recent graduates
Responsibility
- Contribute to the design and development of AI agents integrated into live systems.
- Help build and maintain benchmark datasets to evaluate AI performance.
- Design, prototype, and iterate AI agent workflows using frameworks such as LangChain, LangGraph, or similar frameworks.
- Collaborate closely with senior engineers on system design, integration, and deployment.
Requirements
- Currently pursuing a degree in Artificial Intelligence, Computer Science, or a related field.
- Familiarity with LLM application development, including prompt engineering, RAG. Knowledge of LLM fine-tuning is a plus.
- Hands-on experience with LLM frameworks (e.g., LangChain, LangGraph) is a strong plus.
- Strong programming fundamentals and experience with Python.
- Interest in AI, data-driven systems, and building tools for real-world applications.
- Good communication skills and willingness to learn quickly.
- Ability to commit at least for a 6 months tenure, 5 days per week.
Why Binance
⢠Shape the future with the worldâs leading blockchain ecosystem
⢠Collaborate with world-class talent in a user-centric global organization with a flat structure
⢠Tackle unique, fast-paced projects with autonomy in an innovative environment
⢠Thrive in a results-driven workplace with opportunities for career growth and continuous learning
⢠Competitive salary and company benefits
⢠Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.