Machine Learning Engineer Intern (E-Commerce Knowledge Graph) - 2027 Start (PhD)

About the role

The Knowledge Graph team is responsible for the neural network of e-commerce, which includes tasks such as categorizing products, influencers, and merchants, mining product information, and providing this data to the recommendation team. Additionally, they manage operations related to product tags and category attributes. When we come across a product, they determine whether it belongs to the clothing or sports category, who the product will be suitable for, etc. Furthermore, the team conducts competitive research, identifying top-performing items on the platform and analyzing why one similar product outperforms others. They are also involved in brand recognition. This team plays a pivotal role in bridging various aspects of the business and maintaining close collaboration with other teams.

PhD internships at Our Company provide students with the opportunity to actively contribute to products and research, as well as to the organization’s future plans and emerging technologies. The dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.

Responsibilities

• Craft intricate knowledge graphs, encompassing areas like product/content insights and category/brand/SPU development
• Architect knowledge maps detailing buyer and product connections

Qualifications

Minimum Qualifications

• Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering or a related discipline
• Experience in at least one of the following technological areas:
  • LLM, natural language generation, named entity recognition, machine translation, question answering, knowledge graph, information extraction, text mining and classification
  • Computer vision, facial recognition, multimodal learning, object detection & tracking, image classification
  • Machine learning, transfer learning, graph embedding, representative learning, large-scale optimization, recommendation, reinforcement learning
• Strong coding skills in at least one of the following programming frameworks: Python, Java, C/C++, Spark
• Familiar with at least one of the following deep learning frameworks: PyTorch, TensorFlow, Keras
• Strong analytical and problem-solving skills

Preferred Qualifications

• Familiarity with deep learning frameworks like TensorFlow/PyTorch
• Coursework or projects related to text classification, text matching, sequence labeling, and knowledge graphs
• Knowledge of domain adaptation, text mining, and unsupervised/semi-supervised methodologies
• Experience with machine learning and deep learning algorithms, and text representation methods
• Exposure to large-scale text data processing or tools like Hadoop/Spark/Hive/Flink
• Work experience in e-commerce or the Internet industry is preferred

Benefits

• Day one access to health insurance, life insurance, wellbeing benefits and more
• 10 paid holidays per year
• Paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year)
• Housing allowance for interns not working 100% remote