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Machine Learning Engineer Intern (E-commerce-Conversational AI) - 2026 Start (PhD)

ByteDance

$72 - $72
Aug 16, 2025
Seattle, WA, US
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Improving user consumption experience, inspiring merchants' service quality and revenue, and building a fair and flourishing ecosystem on ByteDance's E-commerce Platform through cutting-edge NLP/ML algorithms and strategies

Requirements

  • Experience with software development in at least one of the following programming languages: C++, Python, Go, Java
  • 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

Other

  • Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline
  • Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred
  • Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues
  • Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems
  • Exercising sound judgment