Machine Learning Engineer Graduate (Trust and Safety Platform)- 2026 Start (BS/MS)

Responsibilities About The Team 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 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. 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. 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. 1. Develop computer vision model or multimodality model to recognize violation content in TikTok 2. Explore cutting-edge multimodal or computer vision large models (CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G, ViT-22B, EVA-enormous, etc) 3. Explore the application of LLM in our business scenarios, like pre-training, zero-shot/ few-shot learning, hard case mining, etc 4. Continuously optimize the training framework to better adapt to the training of large models Qualifications Minimum Qualifications: 1. Currently pursuing an Undergraduate/Master in Software Development, Computer Science, Computer Engineering, or a related technical discipline. 2. Be proficient with at least one deep learning framework (e.g. PyTorch, TensorFlow) 3. Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills Preferred Qualification: 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 ***************@tiktok.com

Information :

• Company : TikTok
• Position : Machine Learning Engineer Graduate (Trust and Safety Platform)- 2026 Start (BS/MS)
• Location : Singapore
• Country : SG