About The Position

Our team is responsible for developing cutting-edge NLP/ML algorithms and strategies to improve user consumption experience, inspire merchants' service quality and revenue, and build a fair and flourishing ecosystem on our E-commerce Platform. More specifically, our team is responsible for the algorithms of Intelligent Customer Service under TikTok's global e-commerce business. We are looking for talented individuals to join us for an internship in 2026. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at ByteDance Internships at ByteDance aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date). Summer Start Dates: May 11th, 2026 May 18th, 2026 May 26th, 2026 June 8th, 2026 June 22nd, 2026

Requirements

  • Currently pursuing a Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline;
  • Experience with software development in at least one of the following programming languages: C++, Python, Go, Java;
  • Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.
  • Must be able to commit to a 12-week full-time work period during Summer 2026

Nice To Haves

  • Experience in NLP and LLM technologies;
  • Proficient in using at least one mainstream deep learning framework such as TensorFlow/PyTorch, understanding distributed training, distillation acceleration, and other implementation methods;
  • Aware of certain processing methods and optimization experience on domain adaptation, small sample construction, text mining, unsupervised/semi-supervised, and other similar issues;
  • Familiar with commonly used machine learning and deep learning algorithms, understand basic network model structure (DNN/LSTM/CNN, etc.) and text representation methods (LDA/Word2Vec/ELMo/GPT/BERT, etc.), have practical experience in deep learning training and reasoning model tuning;
  • Experience in large-scale text data processing or cleaning (Such as using Hadoop/Spark/Hive/Flink)

Responsibilities

  • Applying LLMs for a variety of multilingual and multimodal scenarios of e-commerce business;
  • Establishing a generative-based AI chatbot that is capable of resolving post-sale issues and achieving pre-sale interactive consultations;
  • Text generation, including product titles and descriptions, dialogue summary, auto-replying of emails and tickets, etc.;
  • Machine translation, including optimizing translation quality in dozens of scenarios and language pairs in the e-commerce scenarios, as well as the research of related cutting-edge technologies.
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