Responsibilities
TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Why Join Us
At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.
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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.
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
• 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 apac-earlycareers@tiktok.com.