Binance Careers in Asia
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Binance | South East Asia |
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Binance | South East Asia |
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Binance | Taipei, Taiwan |
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Binance | Hong Kong, Hong Kong |
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Binance | Bangkok, Thailand |
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Binance | Bangkok, Thailand |
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Binance | Bangkok, Thailand |
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Binance | Istanbul, Turkey |
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Binance | South East Asia |
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Binance Accelerator Program - AI Engineer
Taiwan, Taipei / South East Asia / India, Bangalore
Engineering – Backend /
Binance Accelerator Program /
Remote
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Binance is the global blockchain company behind the world’s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money.
Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?
We are building cutting-edge AI systems that enable the next generation of intelligent applications. Our team focuses on developing AI agents, benchmarking datasets, and robust infrastructure to support real-world deployments. As part of our engineering-driven culture, you’ll be exposed to a fast-paced environment where experimentation, collaboration, and innovation are encouraged.
Responsibilities
- Contribute to the design and development of AI agents integrated into live systems.
- Help build and maintain benchmark datasets to evaluate AI performance.
- Implement, test, and optimize backend services in Python or Golang.
- Collaborate closely with senior engineers on system design, integration, and deployment.
- Participate in code reviews, debugging, and documentation to ensure best practices.
- Work in a team environment that encourages mentorship, knowledge sharing, and hands-on learning.
Requirements
- Currently pursuing a degree in Computer Science, Software Engineering, or a related field.
- Strong programming fundamentals and experience with Python or Golang.
- Solid understanding of software engineering principles (data structures, algorithms, version control).
- Interest in AI, data-driven systems, and building tools for real-world applications.
- Good communication skills and willingness to learn quickly.
- Machine learning knowledge is a plus, but not required.
Apply for this job