NLP Algorithm Engineer for E-commerce Knowledge Graph
3 days ago
We are seeking a highly skilled NLP Algorithm Engineer to join our team and contribute to the development of state-of-the-art NLP/ML algorithms and strategies for our E-commerce Platform. As a key member of our team, you will be responsible for designing and implementing algorithms to improve user consumption experience, inspire merchants' service quality and revenue, and build a fair and flourishing ecosystem on our platform.
Key Responsibilities- Participate in the development of massive knowledge graphs of real-world products to support feed ranking, recommendations, and ads.
- Collaborate with product managers, data scientists, and the product strategy & operation team to define product strategies and features.
- Design and implement knowledge graph construction, including product/content/feedback understanding and category/brand/SPU construction.
- Construct knowledge graphs of buyers and products.
- Bachelor's degree in Computer Science or related technical field.
- 3+ working experience in one of the following fields: machine learning, NLP, and computer vision.
- Experience with software development in at least one of the following programming languages: C++, Python, Go, Java.
- Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.
- Proficient in using at least one mainstream deep learning frameworks such as TensorFlow/PyTorch, understanding distributed training, distillation acceleration, and other implementation methods.
- Experience in text classification, text matching, sequence labeling, knowledge graph.
- Aware of certain processing methods and optimization experience on domain adaptation, small sample construction, text mining, unsupervised/semi-supervised and other similar issues.
- Familiar with commonly used machine learning and deep learning algorithms, understand basic network model structure (DNN/LSTM/CNN, etc.) and text representation methods (LDA/Word2Vec/ELMo/GPT/BERT, etc.), have practical experience in deep learning training and reasoning model tuning.
- Experience in large-scale text data processing or cleaning (Such as using Hadoop/Spark/Hive/Flink).
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.
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