Computer Vision Expert for TikTok
3 weeks ago
TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul, and Tokyo. 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.
About the Role
As a Machine Learning Engineer in our Data-E-commerce-Global Supply Chain team, 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. You will enable the team to improve operational efficiency, personalize customer experience through advanced technologies like computer vision and multimodality.
Key Responsibilities
1. Develop and apply cutting-edge machine learning algorithms to optimize e-commerce supply chain processes.
2. Collaborate with cross-functional teams to integrate machine learning models into the e-commerce platform.
3. Analyze and optimize existing machine learning models to improve their performance and efficiency.
Requirements
1. 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.
2. Familiar with model training frameworks such as TensorFlow/PyTorch, understanding of mixed precision training, distributed training, TensorRT deployment, etc.
3. 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.
4. Preference candidates with experience in e-commerce or multimodal/AIGC, including image and video understanding, generation, etc.
5. Good learning ability, excellent communication skills, strong responsibility, proactive and enthusiastic attitude.
The estimated salary for this role is around $125,000 per year.
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