Machine Learning Engineer Intern (E-commerce-Conversational AI) - 2026 Summer/Fall (PhD)
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About this role
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.
PhD internships at ByteDance provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).
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.
Qualifications
Minimum Qualifications:
- Currently pursuing a PhD 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.
Preferred Qualifications:
- 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).