Machine Learning Engineer - Trust and Safety Platform

Our engineering team is responsible for developing state-of-the-art machine learning 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.

1. Build industry-leading content safety systems for TikTok;
2. Develop highly-scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning, computer vision and data mining technologies;
3. Understand product objectives and improve trust and safety strategy and model's performance;
4. Work with cross-functional teams to protect TikTok globally.

Minimum Qualifications
1. Major in computer science or a related technical discipline;
2. At least 3 years of experience in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision.
a) Experience in the recommendation, search, advertising, or other related projects.
b) Published papers in the top AI conferences or journals is a plus, including KDD, IJCAI, WWW, WSDM, ICML, NeurIPS, CVPR, ECCV, ICCV, ACL, etc.;
c) Competition experience in machine learning, data mining, CV, NLP and others.

Preferred Qualifications:
1. Experience in content moderation or trust & safety is a plus;
2. Well understanding of data structures and algorithms;
3. Great communication and teamwork skills;
4. Passion for techniques and solving challenging problems.