Data Scientist for E-commerce Supply Chain

2 days ago

San Jose, California, United States Tik Tok Full time
Overview
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. We have global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul, and Tokyo.

Why Work with Us
We create to inspire - for you, for us, and for more than 1 billion users on our platform. 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.

Responsibilities
1. Explore cutting-edge technologies such as computer vision, AIGC (Artificial Intelligence Generated Content), and multimodal machine learning in the field of content commerce.
2. Apply technologies such as AIGC in the field of content commerce, empowering various aspects of e-commerce such as merchandising, shelf product, and optimizing images of products.
3. Optimize and iterate CV (Computer Vision)/multimodal/AIGC-related models, including image understanding, image generation, image editing, and other advanced technologies.

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 $120,000 per year.

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