Tik Tok
Tech Lead- Machine Learning Engineer - Data Recommendation (Capcut)
Tik Tok, San Jose, California, 95199
Responsibilities 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 imagination 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. Our 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 What You Will Do - 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. Qualifications - Strong coding skills with a solid foundation in data structure and algorithms. - 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. TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at dataecommerce.accommodationstiktok.com