Machine Learning Engineer
3 weeks ago
At TikTok, we're seeking a talented Machine Learning Engineer to join our Data-E-commerce-Global Supply Chain team. As a key member of our team, you'll be responsible for developing and applying cutting-edge machine learning techniques to enhance clients' shopping experience and reduce operational costs in the supply chain of TikTok E-commerce.
Key Responsibilities
• Explore and apply advanced technologies such as computer vision, AIGC, and multimodal machine learning to improve operational efficiency and personalize customer experience.
• Collaborate with cross-functional teams to apply state-of-the-art machine learning techniques to solve challenging problems in the e-commerce supply chain and logistics domain.
• Optimize and iterate CV/multimodal/AIGC-related models, including image understanding, image generation, image editing, and other advanced technologies.
Requirements
• Master's or Ph.D. Degree in Computer Science, Machine Learning, or a related field with excellent programming skills and proficiency in C/C++/Python.
• Familiarity with model training frameworks such as TensorFlow/PyTorch, understanding of mixed precision training, distributed training, TensorRT deployment, etc.
• In-depth research in a specific area of computer vision/multimodality, strong practical skills, priority given to those who have published papers in related competitions and top academic conferences.
• Preference candidates with experience in e-commerce or multimodal/AIGC, including image and video understanding, generation, etc.
• Good learning ability, excellent communication skills, strong responsibility, proactive and enthusiastic attitude.
About Us
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.
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