Machine Learning Engineer, Trust and Safety Platform

3 months ago


Singapur, Singapore TikTok Full time

Team Introduction

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 market 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. Responsibilities: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. Bachelor's degree or above, preferably with a background in Engineering or Computer Science.2. Working 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.3. Good understanding of data structures and algorithms;4. Great communication and teamwork skills. Preferred Qualifications:1. Experience in content moderation or trust & safety is a plus;2. Passion for techniques and solving challenging problems;3. Proficient in prioritizing tasks within tight deadlines, and coordinating with various stakeholders to achieve business objectives;4. Demonstrates resilience under pressure, embracing challenges with determination.

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