About the role#
The Knowledge Graph team builds the neural network for our e-commerce platform. You will help categorize products, influencers, and merchants while mining information to support our recommendation systems. The team manages product tags and category attributes, determines product suitability, and conducts competitive research to understand why certain items perform better than others.
What you'll do#
- Craft intricate knowledge graphs focused on product insights, content, and category or brand development.
- Architect knowledge maps that detail the connections between buyers and products.
What you'll need#
- Currently pursuing an undergraduate degree in Computer Science, Computer Engineering, or a related field.
- Proficiency in at least one programming language such as Python, Java, C/C++, or Spark.
- Experience with at least one deep learning framework like PyTorch, TensorFlow, or Keras.
- Background in one of these areas: LLMs, natural language generation, named entity recognition, machine translation, question answering, information extraction, or text mining.
- Experience in computer vision, facial recognition, multimodal learning, object detection, or image classification.
- Knowledge of machine learning, transfer learning, graph embedding, recommendation systems, or reinforcement learning.
- Strong analytical and problem-solving skills.
- Preferred: Coursework or projects in text classification, sequence labeling, or knowledge graphs; experience with large-scale data tools like Hadoop, Hive, or Flink; and previous work in e-commerce or the internet industry.
Location & details#
- Location: Seattle, Washington.
- Term: Summer 2027.
- Modality: On-site.
- Compensation: $42.75 per hour.
About TikTok
TikTok operates as an entertainment provider. The company maintains a global presence with offices in cities including Los Angeles, Singapore, New York, London, and Tokyo. It employs over 92,000 people. The organization is privately held.
How to get in at TikTok
Landing an internship at TikTok requires speed because early applicants often get seen before the pile grows. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you can apply among the first. This gives you a better chance of your resume being reviewed while the team is still actively filling the position. You should aim to be one of the first people to submit your materials. Reaching out to the right person can also improve your chances of getting a response. Intern Insider surfaces the recruiters behind the company roles so you can contact them directly to ask about the role or a referral. This direct approach often works better than waiting for a response from a general application queue.
