Machine Learning Engineer(NLP/CV/Multimodal), TikTok E-commerce Knowledge Graph

What you will do: 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.

Responsibilities: Knowledge graph construction, including product/content/feedback understanding and category/brand/SPU construction. Construct knowledge graphs of buyers and products.

Minimum Qualifications: Bachelor's degree in Computer Science or related technical field3+ working experience in one of the following fields: machine learning, NLP(Natural Language Processing), multimodal, and computer vision Experience with software development in at least one of the following programming languages: C++, Python, Go, JavaGood sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.

Preferred Qualifications: 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, and 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).

Req ID: A142323