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 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.

TikTok's immersive experience, global presence, and high engagement makes it the ideal destination for brands, big and small, to showcase their unique identity, connect with their consumers, and build strong lasting relationships over time. Our Brand Ads team focuses on enabling brands to grow and succeed on TikTok by creating cutting-edge monetization products that empowers users, creators, and advertisers.

The Brand Ads Team builds technologies that unlock business growth potential. This team owns several ads products: reservation ads, auction ads, and innovative content ads that enables advertisers and users to foster more awareness of their brand to attain their business goals. We work on the end-to-end ads delivery tech stack, including ads bidding, ranking, and forecasting.

We are looking for engineers that have strong problem solving skills and algorithm understanding to build and manage systems with high performance, scalability, and availability. You will have the opportunity to partner closely with a globalized engineering and product teams in a high-impact and fast-paced environment.

What you'll do:
• Build forecasting models to allow advertisers to more efficiently spend ad budgets.
• Create innovative monetization products that drive engagement and revenue.
• Participate in the development of a large-scale Ads system.
• Participate in the development and iteration of Ads algorithms by using Machine Learning
• Work on NLP and CV related technology for content understanding and taxonomy.
• Contribute to the success of a rapidly growing and evolving organization with speediness and quality.