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

$184,300 - $337,250/Yr

Tiktok - Seattle, WA

Full-time - Senior

Seattle, WA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Senior Machine Learning Engineer (NLP/CV/Multimodal) at TikTok will be responsible for developing advanced algorithms and strategies to enhance user experience and merchant service quality on the e-commerce platform. This role focuses on constructing knowledge graphs that support product recommendations, feed ranking, and advertising, contributing to a fair and flourishing ecosystem within TikTok's global e-commerce business.

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

Requirements

• Bachelor's degree in Computer Science or related technical field.
• 3+ years of working experience in machine learning, NLP, multimodal, or computer vision.
• Experience with software development in C++, Python, Go, or Java.
• Good sense of teamwork and communication skills, with practical experience in relevant business scenarios preferred.

Nice-to-haves

• Proficient in using at least one mainstream deep learning framework such as TensorFlow or PyTorch, with understanding of distributed training and distillation acceleration.
• Experience in text classification, text matching, sequence labeling, and knowledge graph.
• Familiarity with processing methods and optimization experience on domain adaptation, small sample construction, text mining, and unsupervised/semi-supervised issues.
• Knowledge of commonly used machine learning and deep learning algorithms, including DNN, LSTM, CNN, and text representation methods like LDA, Word2Vec, ELMo, GPT, and BERT.
• Experience in large-scale text data processing or cleaning using Hadoop, Spark, Hive, or Flink.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% for dependents, and a Health Savings Account (HSA) with company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans.
• Flexible Spending Account (FSA) options for Health Care, Limited Purpose, and Dependent Care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) and 10 paid sick days per year.
• 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through EAP and Lyra.
• 401K company match, gym and cellphone service reimbursements.