Machine Learning Engineer

2 days ago


San Jose, California, United States Tik Tok Full time
Job Description

We are seeking a highly skilled Machine Learning Engineer with expertise in Computer Vision to join our dynamic and fast-paced Data-E-commerce-Global Supply Chain team. In this role, you will 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.

Responsibilities:
  • Explore cutting-edge technologies such as computer vision, AIGC, and multimodal machine learning in the field of content commerce.
  • Apply technologies such as AIGC in the field of content commerce, empowering various aspects of e-commerce such as merchandising, shelf product, and optimization of product images.
  • Optimize and iterate CV/multimodal/AIGC-related models, including image understanding, image generation, image editing, and other advanced technologies.
Qualifications:
  • 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.
  • Familiar 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 given to 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.

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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