Responsibilities TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul, and Tokyo.
Why Join Us Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy – a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact – for ourselves, our company, and the communities we serve.
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.Qualifications Minimum Qualifications: Bachelor's degree in Computer Science or related technical field.3+ years of 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, Java.Good 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 framework 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).TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform
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