Our Trust and Safety team is fast-growing and responsible for building machine learning models and systems to protect our users from the impact of negative content. 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 moderate the tremendous amount of data generated on the platform. With our team's continuous efforts, TikTok can provide the best user experience and bring joy to everyone in the world. We are looking for excellent machine learning engineers who can take the initiative, design and develop advanced machine learning solutions, and deploy them directly to TikTok's global platform. A successful candidate will have machine learning expertise and good software engineering experience. You will take pride in working with engineers, product managers, and business partners to identify and solve the most challenging safety and integrity problems on the internet scale. Responsibilities - What You'II Do - Work on state-of-the-art content understanding techniques including but not limited to unimodal/multimodal content classifiers, Active-learning models, Reinforcement learning models, and Large Language Models. - Deep understanding of TikTok moderation system and propose optimized method on current moderation system. - Collaborate with product teams to define business objectives and improve trust and safety strategy. - Collaborate with engineering teams to deploy machine learning models, design online model workflow, and implement serving pipelines at scale. - Collaborate with the data scientist team to understand the key challenges and propose data-driven strategies.

Minimum Qualifications: - BS/MS degree in Computer Science, Electrical Engineering, Operation Research, Applied Mathematics or similar quantitative fields. - 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. - Curiosity towards new technologies and entrepreneurship, good communication and teamwork skills. Preferred Qualifications: - Minimum of 1 year of related experience. - Experience in Large Language Models, multimodal modeling, Active learning, and Reinforcement learning. - Publications in top AI/ML conferences are a plus. - Understanding of the recommendation system or moderation system. - Experience in developing online ML systems including ranking, and retrieval.