TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, 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 communities we serve.
Join us.

The Ads Targeting's goal is to help advertisers reach their desired audience and optimize advertisement performance. As a member of the Ads Targeting, Ads Core team, you will apply machine learning models to scale budgets by understanding user interest and intention, and build large-scale foundations for data processing and serving for next-generation ad targeting products. This team is working on a variety of products such as custom audience, interest, behavior, lookalike, auto targeting etc., as well as new innovative features.

We are seeking Machine Learning Engineers who can help us to improve our existing delivery system that optimizes for advertisers' true business objectives, i.e. desired user value and effectiveness of ROI. You will have a chance to work with a fully globalized team made up of great engineering talents in different countries, and work closely with cross-functional teams to build proper and relevant connections between users, advertisers, and TikTok.

What You'll Do:
• Responsible for the development of state-of-the-art applied machine learning projects.
• Own key targeting components or strategies in the Tiktok ads monetization ecosystem.
• Build scalable platforms and pipelines for ads targeting products.
• Work with product and business teams on the product vision.