Binance Accelerator Program - Computer Vision Engineer (Agentic AI)

Team: Data Science/AI

Location: Asia, Australia, Brisbane, Australia, Melbourne, Australia, Sydney, Taiwan, Taipei, Hong Kong, South East Asia, Vietnam, Ho Chi Minh, Thailand, Bangkok

Commitment: Binance Accelerator Program

Workplace Type: remote

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.

Requirements

Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or a related field.
Solid understanding of computer vision fundamentals (e.g., object detection, image segmentation, feature extraction) and exposure to LLMs or multimodal models.
Proficiency in Python and experience (or strong interest) with PyTorch or TensorFlow.
Familiarity with KYC pipelines, document analysis, or OCR processes is a strong plus.
Any personal projects, GitHub contributions, Kaggle competitions, or academic research in computer vision is highly valued.

Nice to have:

• Experience building agentic AI systems — autonomous agents that can reason, plan, and act across tools and workflows.
• Hands-on exposure to model deployment (e.g., ONNX, TorchServe, or cloud inference).
• Basic knowledge of MLOps practices, version control (Git), and cloud platforms (AWS/GCP/Azure).
• Skills and Attributes
  • 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.