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.

Team Introduction
Building a world where people can safely discover, create and connect. The Trust & Safety (T&S) team at TikTok helps ensure that our global online community is safe and empowered to create and enjoy content across all of our applications. We have invested heavily in human and machine-based moderation to remove harmful content quickly and often before it reaches our general community.

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 initiatives, design and develop advanced machine learning solutions, and deploy them directly to TikTok's global platform.

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