Senior Machine Learning Engineer, TikTok Trust and Safety

Our Trust and Safety RD team is fast-growing and responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform. Our mission is to protect billions of users and publishers across the globe every day. We embrace state-of-the-art machine learning technologies and scale them to detect and improve the tremendous amount of data generated on the platform. With the continuous efforts of our team, TikTok can provide the best user experience and bring joy to everyone in the world. We are looking for people like you with solid experience in designing and deploying state-of-the-art models in the combination of NLP and CV-related areas. This position will work with a team of excellent research scientists and machine learning engineers who can take initiative, design and develop advanced machine learning solutions, and deploy them directly to TikTok's global platform. Responsibilities - What You'II Do - Responsible for a whole sub-module in moderation system or a research direction including but not limited to LLM and application in Safety, moderation system iteration. - Work with team members to design next-generation moderation systems with new technologies. - Work on Neural Network models and LLM-based models to solve TikTok online safety problems. - Work with engineering teams to implement model pipelines and deploy the service at scale. - Collaborate with the product team to define objectives and improve trust and safety strategy. - Collaborate with data analysis to understand and find data patterns. Minimum Qualifications: - Minimum of 3 years experience in one or more of the areas: machine learning, deep learning, computer vision, content understanding. - BS/MS degree in Computer Science, Electrical Engineering, Operation Research, Applied Mathematics or similar quantitative fields. - Skilled in deep learning model training(CV/NLP/NN), serving, and optimization. - Proficient in deep learning frameworks such as PyTorch and TensorFlow. - Hands-on experience in one or more of the following areas: machine learning (CV/NLP/Multimodal), active learning, Large Language Models, Recommendation Systems, and related areas. - Strong coding skills, especially in Python and similar languages. - Good communication and teamwork skills, passionate about learning new techniques and taking on challenging problems. Preferred Qualifications: - Experienced in large-scale online machine learning platforms is preferred. - Experiences in active learning, reinforcement learning, and LLM are a plus. - Experience in trust and safety areas is a plus.