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, identifies top-performing items, and conducts competitive research to understand market trends. This role offers the chance to contribute to research and emerging technologies while collaborating with industry experts.
What you'll do#
- Build intricate knowledge graphs covering product insights, content analysis, and category or brand development.
- Design knowledge maps that detail the connections between buyers and products.
What you'll need#
- You are currently pursuing a PhD in Computer Science, Computer Engineering, Software Development, or a related field.
- Proficiency in at least one programming language such as Python, Java, C, C++, or Spark.
- Experience with deep learning frameworks like PyTorch, TensorFlow, or Keras.
- Strong analytical and problem-solving skills.
- Experience in at least one of these areas: LLM, natural language generation, named entity recognition, machine translation, question answering, knowledge graph, information extraction, text mining, or classification.
- Experience in at least one of these areas: Computer vision, facial recognition, multimodal learning, object detection, or image classification.
- Experience in at least one of these areas: Machine learning, transfer learning, graph embedding, representative learning, large-scale optimization, recommendation, or reinforcement learning.
- Preferred: Coursework or projects in text classification, text matching, sequence labeling, and knowledge graphs.
- Preferred: Knowledge of domain adaptation, unsupervised or semi-supervised methodologies, and text representation methods.
- Preferred: Exposure to large-scale data tools like Hadoop, Spark, Hive, or Flink.
- Preferred: Prior work experience in e-commerce or the internet industry.
Location & details#
- Location: Seattle, Washington, United States.
- Modality: On-site.
- Employment: Full-time internship.
- Compensation: $57 per hour.
- Selection: Applications are reviewed on a rolling basis.
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.
