ML Engineer, E‑Commerce Knowledge Graph Architect

TikTok; Seattle (WA); Presencial; USD 122.000 - 243.000; Jornada completa

Descripción de la vacante

The Knowledge Graph team at TikTok in Seattle builds the neural network backbone for e-commerce, including product categorization, tagging, and attribute extraction. You will help shape feed ranking, recommendations, and ads by constructing large-scale knowledge graphs and maps that connect buyers, products, and categories.

As a new graduate or early-career professional, you will collaborate with product managers, data scientists, and operations teams to develop forward-looking features, conduct

Formación

• Bachelor's degree in a related field is required.
• Strong interest in machine learning, NLP, multimodal systems, or computer vision.
• Experience with programming languages C++, Python, Go or Java.
• Excellent teamwork and communication skills.

Responsabilidades

• Dive deep into construction of knowledge graphs for real-world products to aid in feed ranking, recommendations and ads.
• Collaborate with product managers, data scientists, and the product & operation teams to craft forward-thinking features.
• Craft knowledge graphs for product/content insights and category/brand/SPU development.
• Architect knowledge maps detailing buyer and product connections.

Conocimientos

Bachelor's degree

Machine Learning

NLP

Multimodal

Computer Vision

C++

Python

Go

Java

Teamwork & Communication

Educación

Bachelor's degree in Software Development, Computer Science, Computer Engineering or related

Master's degree in Software Development, Computer Science, Computer Engineering or related

Herramientas

TensorFlow

PyTorch

Hadoop

Spark

Hive

Flink

Descripción del empleo

The Knowledge Graph team at TikTok in Seattle builds the neural network backbone for e-commerce, including product categorization, tagging, and attribute extraction. You will help shape feed ranking, recommendations, and ads by constructing large-scale knowledge graphs and maps that connect buyers, products, and categories.

As a new graduate or early-career professional, you will collaborate with product managers, data scientists, and operations teams to develop forward-looking features, conduct