TikTok
Machine Learning Engineer(NLP/CV/Multimodal), TikTok E-commerce Knowledge Graph
TikTok, San Jose, California, United States, 95199
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.Our team is responsible for developing state-of-the-art NLP/ML algorithms and strategies to improve user consumption experience, inspire merchants' service quality and revenue, and build a fair and flourishing ecosystem on our E-commerce Platform. More specifically, our team is responsible for the algorithms of Product Knowledge Graphs under TikTok's global e-commerce business.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.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 field3+ working experience in one of the following fields: machine learning, NLP(Natural Language Processing), multimodal, and computer visionExperience 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 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 connects people from across the globe and so does our workplace. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at dataecommerce.accommodations@tiktok.com.
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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.Our team is responsible for developing state-of-the-art NLP/ML algorithms and strategies to improve user consumption experience, inspire merchants' service quality and revenue, and build a fair and flourishing ecosystem on our E-commerce Platform. More specifically, our team is responsible for the algorithms of Product Knowledge Graphs under TikTok's global e-commerce business.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.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 field3+ working experience in one of the following fields: machine learning, NLP(Natural Language Processing), multimodal, and computer visionExperience 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 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 connects people from across the globe and so does our workplace. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at dataecommerce.accommodations@tiktok.com.
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