Director of Engineering, Monetization

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.

The Monetization team is responsible for developing foundation models across text, image and video in TikTok to empower ads business and maintain their business integrity.

You will be at the forefront of driving innovation in the field of machine learning and responsible for leading a talented team of ML experts across Computer Vision, Natural Language Processing, Large Language Models and Multimodality. Your team's primary objective is to develop cutting-edge generative ML models and algorithms with a strong focus on integrity, trust and safety. Through this work, you will contribute to the development of innovative products and solutions that enhance revenue streams, create a competitive edge for our organization and provide a great experience for our users.

Responsibilities
1. Lead and manage an organization of 40+ ML researchers and developers focused on Computer Vision, Natural Language Processing, Large Language Models and Multimodality, fostering a collaborative and innovative work environment.
2. Drive the development of cutting-edge generative ML models and algorithms with a focus on integrity, exploring data sources and techniques for improved performance.
3. Collaborate with cross-functional teams to integrate ML research into existing products or create new revenue-generating solutions aligned with business objectives.
4. Identify and execute strategies for ML technology, analyzing market trends and customer feedback to make data-informed decisions.
5. Stay updated with the latest advancements in ML and actively contribute to the ML community.