Job Description

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.

About the team

The Platform Governance team is focused to support the businesses by building a healthy E-commerce ecosystem and improve platform service capabilities with the most advanced AI technology.

Responsibilities:

- Responsible for the optimization of NLP/Computer Vision/MultiModal algorithms for content understanding, and applying them to the scenarios of e-Commerce.

- Responsible for the recognition of the risk/low quality/style issue in the e-Commerce scenario (including product, shopping TikTok video, shopping livestream etc) and applying them to review system or recommendation traffic control.

- Responsible for recognition and control of the risky seller and low-quality e-Commerce anchors via user profile.

- Responsible for building the anti-fraud model to recognize illegal behaviors and events in the e-Commerce scenario.

- Support the production of scalable and optimised AI/machine learning (ML) models.

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models.

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.

- Work with the relevant software platforms in which the models are deployed.