Binance Accelerator Program - AI Security Automation - #1100393

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?

About Binance Accelerator Program (BAP)

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 worlds’ 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

Who may apply

Current university students and Entry level candidates

Responsibilities

• Work on AI security automation initiatives and deliver projects or project components.

• Develop APIs to expose AI services to other teams.

• Integrate with Large Language Models (LLMs) in a multi-agent environment.

• Support other teams in integrating with the provided services.

• Establish and manage new services.

• Ensure operational efficiency and maintain SLAs for tools and services.

Requirements

• Previous internship experience, or alternatively, demonstrated software development or open-source contributions (verifiable via your GitHub profile).

• Currently enrolled in a Computer Science/Engineering or Information Technology degree program.

• Proficiency in developing applications using Python.

• Experience working with AWS or other cloud environments.

• [Advantageous but not mandatory] Experience with Kubernetes.

• [Advantageous but not mandatory] Experience in building cloud-native applications.

• Availability to work at least 4 days a week.

• Strong analytical and problem-solving skills; ability to adapt to different and challenging environments; quick learner of new technologies.

• Good understanding of the subjects completed in your university coursework.