NLP Algorithm E-Commerce Intelligent Customer Service 2218

San Jose, US-United States, Seattle, US-United States
Posted 10 months ago
About The Company

This company pioneers short-form video creation and social engagement, boasting a vast, engaged user base. Its platform empowers users with creative tools, filters, and effects. With a diverse content ecosystem, it’s a hub of creativity and expression. The proprietary algorithm ensures personalized content feeds, enhancing user engagement and satisfaction. This company wields significant influence on digital media, making it an invaluable partner for innovative collaborations and marketing endeavors.

Team Intro

Our team is responsible for developing cutting-edge NLP/ML algorithms and strategies to enhance the user experience, improve service quality and revenue for merchants, and foster a fair and thriving ecosystem on our E-commerce Platform. Specifically, our team focuses on the algorithms of Intelligent Customer Service within the global e-commerce business of our client.

What You Will Do

– Contribute to the development of AI-powered customer service within our client’s e-commerce ecosystem, enabling sellers to better serve customers.
– Contribute to the creation of extensive knowledge graphs for real-world products, supporting feed ranking, recommendations, and advertisements.
– Collaborate with product managers, data scientists, and the product strategy & operation team to define product strategies and features.


– Strong foundation in NLP algorithms, with a deep understanding and practical experience in text classification, similarity matching, dialogue question and answer, machine translation, sequence tagging, Knowledge Graph, intention understanding, word meaning disambiguation, and related fields.
– Familiarity with commonly used machine learning and deep learning algorithms, including knowledge of basic network model structures (DNN/LSTM/CNN, etc.) and text representation methods (LDA/Word2Vec/ELMo/GPT/BERT, etc.). Experience in training deep learning models and fine-tuning reasoning models.
– Proficiency in at least one mainstream deep learning framework (TensorFlow/PyTorch/Caffe/MXNet) and understanding of distributed training, distillation acceleration, and other implementation methods.
– Excellent problem analysis and problem-solving skills, with experience in domain migration, small sample construction, text mining, unsupervised/semi-supervised learning, and other related areas.
– Proficiency in basic big data components (Hadoop/Spark/Hive/Flink) and experience in processing and cleaning large-scale text data.
– Familiarity with Linux development environment, proficient in at least one programming language (C++/Go/Python), and solid foundation in algorithms and data structures.
– Strong teamwork and communication skills, with preference given to practical experience in relevant business scenarios.
– Preferred qualifications include published papers in high-level computer science conferences (ACL, EMNLP, NIPS, AAAI, etc.) or competition experience.

Job Features

Job CategoryNatural Language Processing
SeniorityStaff IC / Senior Staff / Architect
Base Salary$158,080 - $289,469

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