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Algorithm Engineer - Global E-Commerce (Knowledge Graph)

面议
新加坡 · Singapore(新加坡) · 经验要求见详情
研发算法正式A151788A新加坡国际招聘

关于这个机会

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.

任职要求

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.

官方来源与核验

字节跳动官方招聘 · 职位编号 7642207465908193589

最近核验:2026-09-16T14:05:07.210038+00:00

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