Machine Learning Engineer (Recommendation) - CapCut

About TikTok

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.

About the Role

The team is responsible for the recommendation algorithms of video creation tools globally, overseeing recommendation distribution and user growth optimization across all apps of CapCut, including Jianying, CapCut, Hypic, so as to enhance content distribution efficiency and user growth efficiency.

Responsibilities

• Optimize the core recommendation algorithms and strategy of video creation tools globally, including CapCut, Hypic, etc.
• Enhance user growth efficiency by optimizing distribution efficiency of content created by CapCut, Hypic, etc.
• Optimize user experiences during creation via a deep understanding of user behavior and state-of-the-art machine learning technologies.
• 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.

Qualifications

• Strong coding skills with a solid foundation in data structure and algorithms. At least 5 years of relevant experience.
• Strong theoretical knowledge and practical experience in machine learning.
• Excellent problem analysis and solving skills, with passion for tackling challenging problems.
• Familiarity with one or more areas in machine learning, computer vision, natural language processing, or data mining.
• Strong practical ability, papers published in relevant competitions and top academic conferences (such as CVPR, ICCV, ECCV, etc.) are preferred.