Machine Learning Engineer Intern (E-commerce-Intelligent Customer Service) - 2025 Summer/Fall (PhD)

e to TikTok and its affiliates' jobs globally.
Internships at TikTok 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 12-24 weeks and begins in May/June 2025 or August/September 2025. Successful candidates must be able to commit to one of the following start dates below:

(Select below options for Summer)

• Monday, May 12
• Monday, May 19
• Tuesday May 27 (Memorial Day May 27)
• Monday, June 9
• Monday, June 23

(Select below options for Fall)

• Monday, August 11
• Monday, August 25
• Monday, September 8
• Monday, September 22
  Please state your availability clearly in your resume (Start date, End date).

Applications will be reviewed on a rolling basis. We encourage you to apply early. 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 TikTok and its affiliates' jobs globally.

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).