Responsibilities
Team Introduction Our team is responsible for developing large scale product knowledge graphs to improve the online shopping experience. We are currently looking for talented software engineers that have a deep understanding of Natural Language Processing (NLP), Computer Vision (CV), Multimodality Large Model (MLLM), Deep Learning (DL), Reinforcement Learning (RL), Generative AI and Machine Learning(ML). We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. 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. 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.
Qualifications
Minimum Qualifications - Final year PhD graduates in Computer Science, engineering or quantitative field. - Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, Spark etc.; Familiar with at least one of the following deep learning frameworks, e.g., 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. If you have any questions, please reach out to us at apac-earlycareers@tiktok.com
Job Information
About TikTok

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us

Inspiring creativity is at the core of TikTok’s mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We’re resilient and embrace challenges as they come. By constantly iterating and fostering an “Always Day 1” mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
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.

Please refer the Job description for details