Algorithm Engineer - Global E-Commerce (Knowledge Graph)

About the team Our team is responsible for developing large scale product knowledge graphs to improve online shopping experience. We are currently looking for talented software engineers that have a deep understanding of Natural Language Processing (NLP), Computer Vision (CV), Deep Learning (DL) and Machine Learning (ML). Responsibilities You will be developing state-of-the-art models to solve challenging problems that impact both the platform and millions of customers, including: - Responsible for building and continuously optimizing algorithm solutions in product matching, price comparison etc. to improve supply operational efficiencies; - Responsible for continuously maintaining and improving the robustness, stability and computational efficiencies of algorithm solutions in live business environment. Minimum Qualifications - Bachelor and above with major in computer science, computer engineering, statistics, applied mathematics, data science or other related disciplines. - Hands-on experience and strong skills in at least one of the technological areas: - Natural language generation, named entity recognition, machine translation, question answering, knowledge graph, information extraction, text mining and classification etc. - Computer vision, facial recognition, multimodal learning, object detection & tracking, image classification etc. - Machine learning, transfer learning, graph embedding, representative learning, large-scale optimization, recommendation, reinforcement learning, etc. - Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, Spark etc.; Familiar with at least one of the following deep learning frameworks, e.g., PyTorch, TensorFlow, Keras etc. - Strong analytical and problem-solving skills. Preferred Qualification - Work experience in e-commerce or Internet industry is preferred.