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

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy.

TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity;

to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together.

That's how we drive impact - for ourselves, our company, and the communities we serve. Join us. 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 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience.

Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok. 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. 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 22Please 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.

• 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, and text representation methods (LDA / Word2Vec / ELMo / GPT / BERT, , 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).
3 days ago