Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics - CV/Mul

Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics - CV/Multimodal) - 2025 Start (MS) Join to apply for the Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics - CV/Multimodal) - 2025 Start (MS) role at TikTok . Responsibilities Explore cutting-edge technologies such as computer vision, AIGC, and multimodal machine learning in content commerce. Apply technologies like AIGC in content creation, product material generation, virtual try-on, and e-commerce video editing. Understand TikTok short videos to identify structured e-commerce information for diverse consumer needs. Qualifications Minimum Qualifications: Master's degree or above in Computer Science, Engineering, or related fields. Recent graduate or final year student with a background in Software Development or related technical discipline. Knowledge of TensorFlow/PyTorch, experience with training frameworks, and deployment tools. Preferred Qualifications: Software engineering experience from internships, work, or publications. Internship or research experience in e-commerce, multimodal/AIGC, image/video understanding and generation. Research publications at top conferences in relevant fields. Strong communication skills and proactive attitude. Additional Information The position offers a salary range of $118,657 - $168,150 annually, with potential bonuses and stock options. Benefits include health insurance, 401(k), paid leave, and more. Candidates must be able to start in 2025 and should specify their availability and graduation date in their application. This job is open in Los Angeles County, with considerations for fair chance employment laws. About TikTok TikTok is a leading platform for short-form videos, dedicated to inspiring creativity and bringing joy. We value diversity and inclusion, and are committed to creating an inclusive environment for all employees. Application Details Applicants can apply for up to two positions. Early application is encouraged as reviews are rolling. For accommodations, contact us at . #J-18808-Ljbffr