Algorithm Engineer, TikTok E-Commerce (Knowledge Graph) - 2025 Start

t TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

About the team
Our team is responsible for developing state-of-the-art 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 and machine translation under TikTok's global e-commerce business.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

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. Applications will be reviewed on a rolling basis - we encourage you to apply early.

What you will do:

• Participate in the development of AI customer service within the TikTok e-commerce ecosystem to help our sellers better serve our customers.
• Responsible for the language quality of the TikTok shopping platform, including improving machine translation quality of product information, IM of buyers and sellers, and supporting scenario of cross-lingual searching.
• Collaborate with product managers, data scientists, and the product strategy & operation team to define product strategies and features.

Responsibilities:

1. Build an intelligent dialogue system, including mining questions and answers.
2. Language understanding, including intention recognition, emotion recognition, FAQ, etc.
3. Develop multilingual text generation such as products' copy, dialogue summary, email reply, etc.
4. Construct knowledge graphs of buyers and products.

Qualifications

Minimum Qualifications:
• Bachelor's degree in Computer Science or related technical field
• Working experience in one of the following fields: machine learning, NLP, and computer vision
• 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:

• Proficient in using at least one mainstream deep learning framework such as TensorFlow/PyTorch, understanding distributed training, distillation acceleration, and other implementation methods.
• Experience in text classification, text matching, sequence labeling, knowledge graph.
• 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).

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected].