Machine Learning Engineer - CV/Multimodal (TikTok Global E-commerce Supply Chain Team)

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:

1. Responsible for exploring cutting-edge technologies such as computer vision, AIGC (Artificial Intelligence Generated Content), and multimodal machine learning in the field of content commerce.

2. Responsible for applying technologies such as AIGC in the field of content commerce, empowering various aspects of e-commerce such as merchandising, shelve product, and optimization the images of products.

3. Responsible for optimizing and iterating CV (Computer Vision)/multimodal/AIGC-related models, including image understanding, image generation, image editing, and other advanced technologies.