Knowledge Graph Intern

Job Description

About the Role
The Knowledge Graph team is responsible for building the neural network of e-commerce, categorizing products, influencers, and merchants, mining product information, and providing this data for recommendations. The team also manages product tags, category attributes, determines product suitability, conducts competitive research, and handles brand recognition, playing a pivotal role in bridging business aspects and collaborating with other teams. This internship aims to offer students hands-on industry exposure and the opportunity to develop fundamental skills within this critical team.

What You’ll Do
• Categorize products, influencers, and merchants
• Mine product information
• Provide data to the recommendation team
• Manage operations related to product tags and category attributes
• Determine product category and suitability
• Conduct competitive research, identifying top-performing items and analyzing performance
• Be involved in brand recognition
• Craft intricate knowledge graphs, encompassing areas like product/content insights and category/brand/SPU development
• Architect knowledge maps detailing buyer and product connections

You’re a Good Fit If You
• Are currently pursuing a PhD in computer science, computer engineering, statistics, applied mathematics, data science or other related disciplines
• Must be able to commit to a 12-week full-time work period during Summer 2026
• Have experience in at least one of the technological areas: LLM, natural language generation, named entity recognition, machine translation, question answering, knowledge graph, information extraction, text mining and classification etc.
• Have experience in at least one of the technological areas: Computer vision, facial recognition, multimodal learning, object detection & tracking, image classification etc.
• Have experience in at least one of the technological areas: Machine learning, transfer learning, graph embedding, representative learning, large-scale optimization, recommendation, reinforcement learning, etc.
• Have strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, Spark etc.
• Are familiar with at least one of the following deep learning frameworks, e.g., PyTorch, TensorFlow, Keras etc.
• Have strong analytical and problem-solving skills
• Work and collaborate well with team members

Bonus Qualifications
• Work experience in e-commerce or the Internet industry is preferred

Role Highlights & Compensation
• Hourly rate range for this position is $42.75- $42.75
• Interns have day one access to health insurance, life insurance, wellbeing benefits and more
• Interns receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year)
• Interns who are not working 100% remote may also be eligible for housing allowance
• Internships run for 12 weeks
• A vibrant blend of social events and enriching development workshops will be available
• Opportunity to utilize knowledge in real-world scenarios while laying a strong foundation for personal and professional growth