Binance Accelerator Program - AI Engineer at Binance
Remote, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

26 Nov, 25

Salary

0.0

Posted On

26 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Version Control, Computer Science, Python, Communication Skills, Data Structures

Industry

Computer Software/Engineering

Description

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.

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.
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.
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