Knowledge Graph ML Engineer for Ecommerce

TikTok; San Jose (CA); On-site; USD 162,000 - 388,000; Full time

Job summary

TikTok is building a Knowledge Graph team focused on the neural network backend for e-commerce, including product categorization, influencer and merchant data, and tag/categorical attributes. The team collaborates with product, data science, and operations to craft advanced features and insights.

Successful candidates will pursue bold ideas, tackle complex challenges, and join a fast-growing tech environment. Graduation timelines and onboarding dates are requested in resumes.

Qualifications

• PhD in Software Development, Computer Science, Computer Engineering or related discipline.
• Passion or exposure to machine learning, NLP, multimodal systems, and computer vision.
• Familiarity with programming languages such as C++, Python, Go, or Java.
• Strong teamwork and communication skills; hands-on projects in relevant technical scenarios are a plus.

Responsibilities

• Dive deep into constructing and developing vast knowledge graphs that support feed ranking, recommendations, and ads.
• Collaborate with product managers, data scientists, and operations teams to craft forward-thinking product strategies and features.
• Create knowledge graphs covering product/content insights and category/brand/SPU development.
• Architect knowledge maps detailing buyer and product connections.

Skills

ML/NLP/CV exposure

Education

PhD in a relevant field

Tools

TensorFlow/PyTorch

Job description

TikTok is building a Knowledge Graph team focused on the neural network backend for e-commerce, including product categorization, influencer and merchant data, and tag/categorical attributes. The team collaborates with product, data science, and operations to craft advanced features and insights.

Successful candidates will pursue bold ideas, tackle complex challenges, and join a fast-growing tech environment. Graduation timelines and onboarding dates are requested in resumes.