VinAI is looking for AI Engineers who are talented software engineers capable of working on research projects and/or translating research ideas into building computer vision systems. AI engineers are expected to be able to reimplement and develop sophisticated computer vision and machine learning algorithms and systems.

• People who want to join hands with us to build AI products and solutions which can compete on the highest level globally, besides hungry to learn, value teamwork, and enjoy a young, enthusiastic, diverse working environment.
• Talented engineer capable of working on applied projects, translating research ideas into building computer vision and machine learning systems to solve real-world problems. We are looking for both senior level and junior level who can conduct research independently and implement the latest research methodologies to ML for the production life cycle.
• Work closely with computer vision research scientists on cutting-edge computer vision algorithms, reimplement existing algorithms, and innovate the algorithms for tasks such as:
  • Activity recognition using image, and wearable sensor data.
  • Image classification, 2D/3D Object detection and Tracking, Semantic segmentation, Scene understanding, Image and video enhancement

• Contribute to the development of prototypes and products.
• Collect data, manage labelling tasks, run experiments, and assist scientists in writing and submitting research papers to top- tier conferences (if any). Be co-author of research papers

• BS/MS in Computer Science/Electrical Engineering/Robotics or related fields
• Experience with a wide variety of Deep Learning Models (CNN, Transformer, etc)
• Familiar with Computer Vision techniques (2D/3D object detection, object tracking, classification, image segmentation, etc)
• Experience in Machine learning and Computer Vision frameworks and libraries such as PyTorch, OpenCV, etc
• Skilled software developer with experience in C/C++, Python, and/or CUDA, experience with edge device deployment is preferred (TensorRT, TFlite, etc)
• Knowledge of software engineering best practices across the development lifecycle
• At least 2-3 years of experience in ML and CV, Kaggle challenge (Competition Expert/Master/Grand is preferred)