USA NLP and Computer Vision Engineer -TikTok E-Commerce
Job Description
About TikTok
TikTok is the leading platform for short-form mobile videos, dedicated to inspiring creativity and bringing joy to over 1 billion users worldwide. With global offices in cities like Singapore, Los Angeles, London, and Tokyo, we prioritize innovation and collaboration.
Why Join Us?
At TikTok, creation is at the heart of everything we do. Our mission is to inspire creativity and bring joy. We see every challenge as an opportunity to learn, innovate, and grow together. If you're looking for a place where your ideas can thrive and make an impact, join us!
About the Team
Our team is focused on enhancing the recognition capabilities for users, products, and short videos, enabling personalized product recommendations and an excellent shopping experience.
Responsibilities:
- Build a user profiling system to accurately capture shopping interests by analyzing behavioral patterns and preferences.
- Utilize NLP, Computer Vision (CV), and multimodal technologies to improve understanding of short video content and products, enhancing search and recommendation systems.
- Explore large-scale, high-quality pretraining datasets to develop industry-specific models for e-commerce using the Byte Universal Model.
- Innovate new interactive shopping scenarios in e-commerce.
Qualifications:
Minimum Qualifications:
- Deep expertise in NLP, CV, and multimodal fields, including machine translation, few-shot learning, and image/video understanding.
- Proficiency in training and deploying models using PyTorch, TensorFlow, or similar frameworks.
- Strong practical skills, with a preference for project experience in video content understanding or multimodal retrieval. Awards from competitions like Kaggle or COCO will be prioritized.
Preferred Qualifications:
- Published papers in top-tier academic conferences/journals.
- At least 3 years of relevant experience in a large-scale internet business.
Diversity & Inclusion:
TikTok is committed to creating an inclusive environment where every employee's skills and unique perspectives are valued. We celebrate diversity and strive to reflect the communities we serve.
Date Posted
11/19/2024
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