CV/NLP/Multimodal LLM Machine Learning Engineer Graduate (Trust and Safety Platform) - 2027 Start (PhD)

• Individuals who are completing or have recently completed a PhD degree in Computer Science, Computer Engineering or a related discipline.
• Be proficient with at least one deep learning framework (e.g. PyTorch, TensorFlow)
• Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills

• Published papers in the top AI conferences or journals is a plus, including CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, IJCV, etc

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

The algorithm team is responsible for developing state-of-the-art computer vision, NLP and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related local regulations. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

Job Description We are looking for a highly self-motivated research engineer to join our algo team. In our team, you will have the opportunity to participate in the development of the cutting-edge content understanding model to help improve the recognition ability of violated content in TikTok, and will also be responsible for optimizing our distributed model training framework continuously. The ideal candidate should be experienced in building a computer vision model or multimodality model and have a very strong coding ability in Pytorch/Tensorflow