Responsibilities

● Research, design and prototype new models and approaches based on deep learning, machine learning, and statistical analysis

● Conduct cutting edge R&D in machine learning applications

● Develop proof-of-concept systems to demonstrate advanced performance

● Collaborate with cross-functional teams to design and prototype new features

Requirements

● Doctorate Degree or Master's Degree with equivalent practical experience

● Outstanding research ability with a good publication record of 2+ papers in top conferences or journals

● Experienced in mainstream deep learning frameworks, such as PyTorch/Torch, TensorFlow, MxNet, Caffe, etc.

● Excellent knowledge of the latest developments in the deep learning field

● Experience in image processing, OCR, NLP, banking and risk verification is a plus.

● Strong programming skills in C/C++, Python or other related languages

● Familiarity with code versioning tools, such as Git

● Critical thinker and problem-solving skills

● Team player with great interpersonal and communication skills

● Good time-management skills