Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means.
About Binance Accelerator Program
Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE.
Who may apply
Current university students and recent graduates.
*Terms of employment / engagement shall be subject to contract and local applicable laws
About the Role
We are seeking a motivated and enthusiastic Computer Vision Engineering Intern to join our innovative team. This is an exciting opportunity for a current student or recent graduate passionate about AI, computer vision, and cutting-edge technology to gain hands-on experience while contributing to real-world projects. You’ll work alongside experienced engineers, learn from industry leaders, and help advance our computer vision capabilities in a fast-paced, collaborative environment.
About the Role
We are seeking a motivated and enthusiastic Computer Vision Engineering Intern to join our innovative team. This is an exciting opportunity for a current student or recent graduate passionate about AI, computer vision, and cutting-edge technology to gain hands-on experience while contributing to real-world projects. You’ll work alongside experienced engineers, learn from industry leaders, and help advance our computer vision capabilities in a fast-paced, collaborative environment.
About the Role
We are seeking a motivated and enthusiastic Computer Vision Engineering Intern to join our innovative team. This is an exciting opportunity for a current student or recent graduate passionate about AI, computer vision, and cutting-edge technology to gain hands-on experience while contributing to real-world projects. You’ll work alongside experienced engineers, learn from industry leaders, and help advance our computer vision capabilities in a fast-paced, collaborative environment.
Responsibilities
• Support the development and optimization of computer vision models to enhance our product features.
• Write clean, efficient Python code using modern frameworks such as PyTorch (and TensorFlow where relevant) for model training, inference, and deployment.
• Assist with integrating computer vision solutions into existing systems and workflows.
• Stay curious about the latest advancements in computer vision, large language models (LLMs), and multimodal AI, and share fresh ideas with the team.
• Participate in code reviews, stand-ups, and team discussions to build strong engineering practices.
• Contribute to research experiments and help translate promising ideas into practical prototypes.
• Collaborate with cross-functional teams (engineering, product, data) in an agile setting.
• Write clean, efficient Python code using modern frameworks such as PyTorch (and TensorFlow where relevant) for model training, inference, and deployment.
• Assist with integrating computer vision solutions into existing systems and workflows.
• Stay curious about the latest advancements in computer vision, large language models (LLMs), and multimodal AI, and share fresh ideas with the team.
• Participate in code reviews, stand-ups, and team discussions to build strong engineering practices.
• Contribute to research experiments and help translate promising ideas into practical prototypes.
• Collaborate with cross-functional teams (engineering, product, data) in an agile setting.
Requirements
Nice to have:
• Strong analytical thinking and problem-solving mindset.
• Eagerness to learn quickly and adapt in a dynamic startup-like environment.
• Excellent communication skills — both verbal and written.
• Ability to work independently on assigned tasks while thriving in a collaborative team.
• Passion for AI innovation and a proactive, ownership-oriented attitude.
What You’ll Gain
• Real-world experience shipping computer vision features.
• Mentorship from senior engineers and exposure to production-grade AI systems.
• Opportunity to work on impactful projects at the intersection of vision and language models.
This internship is ideal for someone who wants to accelerate their career in AI and computer vision while making meaningful contributions from day one.
• Real-world experience shipping computer vision features.
• Mentorship from senior engineers and exposure to production-grade AI systems.
• Opportunity to work on impactful projects at the intersection of vision and language models.
This internship is ideal for someone who wants to accelerate their career in AI and computer vision while making meaningful contributions from day one.
Why Binance
• Shape the future with the world’s 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.
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