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TikTok

Machine Learning Engineer, TikTok E-Commerce Knowledge Graph - USDS

TikTok, Mountain View, California, us, 94039


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.

About USDSU.S. Data Security (“USDS”) is a standalone entity of TikTok in the U.S. This new security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and user data in the U.S.

About the TeamOur 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.

QualificationsBachelor'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.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).

Job Information:Compensation Description (annually)The base salary range for this position in the selected city is $194,000 - $355,000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies, experience, and location.Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and offer a Health Savings Account (HSA) with a company match, as well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans. In addition to Flexible Spending Account (FSA) Options like Health Care, Limited Purpose, and Dependent Care.Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year, as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra, a 401K company match, gym, and cellphone service reimbursements.

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