About the team
Our team is responsible for developing large scale product knowledge graphs to improve the online shopping experience.
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.
Watch your ambitions become reality as your inspiration brings infinite opportunities at 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.
Successful candidates must be able to commit to at least 3 months long internship period.
Responsibilities - Responsible for building and continuously optimizing algorithm solutions in product profiling construction & product information quality improvement etc.
to accelerate supply operational efficiencies in global e-commerce markets; - Responsible for continuously optimizing fundamental algorithms of unified product representations to further improve traffic efficiencies in global e-commerce markets.
Minimum Qualifications
- Postgraduate who is currently pursuing a Master/Phd degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Strong coding skills in at least one of the following programming frameworks, .
Python, Java, C/C++, Spark etc.; Familiaer with at least one of the following deep learning frameworks, ., PyTorch, TensorFlow, Keras etc.
- Solid data structure/algorithm foundation, proficient in machine learning/deep learning theoretical knowledge, and rich practical experience.
- Familiar with NLP, sentiment analysis, CV, multimodality, graph algorithm, search algorithm, text/data mining in 1-2 areas.
Preferred Qualifications
- Excellent analytical and problem solving skills with a passion for challenging issues.
- Good teamwork spirit and strong communication skills.
- Experience in overseas Internet/e-commerce business experience is preferred.