Machine Learning Engineer, TikTok Live Stream

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, Mumbai, Singapore, Jakarta, Seoul and Tokyo.

Why Join UsCreation 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 TeamRecommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth.

The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact.

The team is dynamic, fast-pacing, collaborative and impact-driven. Responsibilities - What You'II Do- Participate in the recommendation algorithm of the live streaming business and make contributions to a world-class large scale recommendation system- Optimize the core algorithms and strategies (recall, coarse ranking, fine ranking, mixed ranking, diversity, through modeling technologies including deep learning, representation learning, multi-task learning, causal inference, and sequence modeling.

Ensure every user finds relevant creators and enjoys the fun of live streaming.- Continuously improve recommendation technology with deep understanding of the ecological roles of users, creators, platforms, drive healthy growth in user experience, creator growth, platform revenue, and create a virtuous cycle of livestream ecosystem- Work closely with the product and operations team, excel in technological innovation with deep integration of business characteristics, and help achieve long-term and short-term business development goals.

• Solid programming foundation, good programming style and work habits, solid knowledge of data structures and algorithms.
• Has strong theoretical foundation and extensive practical experience in the field of machine learning / deep learning , familiar with at least one mainstream deep learning framework.
• Has exceptional ability to analyze and solve problems, passionate about solving challenging problems; good at communication, proactive at work, has a strong sense of responsibility, and possess good teamwork skills.
• Priority will be given to individuals who have published papers at top conferences, won competitions such as ACM / machine learning, or have experience in core algorithm businesses such as large-scale recommendation systems, computational advertising, and search engines.
30+ days ago