Machine Learning Engineer, NLP - E-commerce Graph

Machine Learning Engineer, NLP - Tik Tok E-commerce Knowledge Graph

Location: Seattle

Employment Type: Regular

Job Code: S2777A

• 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.

Minimum Qualifications:

• Bachelor’s degree in Computer Science or related technical field.
• 3+ years of working experience in machine learning, NLP, or 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 Tensor Flow/PyTorch, and understanding distributed training, distillation acceleration, and other implementation methods.
• Experience in text classification, text matching, sequence labeling, and knowledge graph.
• Awareness of domain adaptation, small sample construction, text mining, unsupervised/semi‑supervised optimization.
• Familiar with common machine learning and deep learning algorithms; understand basic network model structures (DNN, LSTM, CNN, etc.) and text representation methods (LDA, Word2
  
  Vec, ELMo, GPT, BERT, etc.); practical experience in deep learning training and model tuning.
• Experience in large‑scale text data processing or cleaning using Hadoop/Spark/Hive/Flink.

The base salary range for this position in Seattle is $148,200 - $300,960 annually.

Compensation may vary depending on qualifications, skills, credentials, and location. Base pay is one part of the Total Package and may be eligible for additional discretionary bonuses/incentives and restricted stock units.

Benefits include medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short‑term and long‑term disability coverage, life insurance, wellbeing benefits, 10 paid holidays per year, 10 paid sick days per year, and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

The following job duties may be considered critical and could be a basis for the withdrawal of a conditional offer of employment:

• Interacting and occasionally having unsupervised contact with internal or external clients and/or colleagues.
• Appropriately handling and managing confidential information including proprietary and trade secret information and accessing information technology systems.
• Exercising sound judgment.