Job Description
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 UsAt TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.Data-E-commerce-Global Supply Chain team:Our team is dedicated to enhancing clients' shopping experience and reducing operational costs in the supply chain of TikTok E-commerce by developing end-to-end algorithm capabilities using machine learning, computer vision, multimodal, operations research, data mining, and causal inference methods.We are seeking an exceptional and motivated Machine Learning Engineer with expertise in Computer Vision (CV) or AIGC or Multimodal to join our dynamic and fast-paced team. In this role, you will collaborate with cross-functional teams including data scientists, engineers, product managers, and business stakeholders to apply state-of-the-art machine learning techniques to solve challenging problems in the e-commerce supply chain and logistics domain. You will enable the team to improve operational efficiency, personalize customer experience through advanced technologies like computer vision and multimodality. Responsibilities:
TikTok is a short-video-sharing app and social network platform. The company's mission is to capture and present the world's creativity, knowledge, and precious life moments, directly from the mobile phone. TikTok enables everyone to be a creator and encourages users to share their passion and creative expression through their videos.