CV/Multimodal/Generative AI Algorithm Engineer, TikTok Global E-Commerce - 2025 Start (PhD)

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At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

About the team
Relying on TikTok's global e-commerce scene, the team is committed to optimizing TikTok's global e-commerce logistics fulfillment services through technologies such as machine learning, deep learning, and operational research optimization. Externally, it provides cheap, fast, high-quality logistics services that meet different needs for global consumers and merchants; internally, it builds an intelligent logistics system to save costs, save time, improve efficiency, and improve stability for the fulfillment of orders.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities
-Responsible for MultiModal Content understanding of TikTok short videos, identifying various structured information related to e-commerce to meet the purchasing demands of different consumers.
-Responsible for applying technologies such as AIGC in the field of content commerce, empowering various aspects of e-commerce such as product creativity generation, generation and optimization of product materials, virtual try-on, e-commerce video generation and editing.
-Responsible for recognizing the basic attributes of products in the e-commerce scenario, improving the compliance and delivery efficiency of products, and enhancing the user's purchase experience.
-Responsible for exploring cutting-edge technologies such as computer vision, AIGC (Artificial Intelligence Generated Content), and multimodal machine learning in the field of content commerce.

Qualifications

Minimum Qualifications

• Final year Ph.D or recent Ph.D graduates in Computer Science, engineering or quantitative field.
• Have in-depth research in a certain field of MultiModal Machine Learning, Computer Vision, and NLP, including but not limited to:
  a) image/video classification, detection, segmentation, action recognition, MultiModal Machine Learning pre-training, text classification, unsupervised and self-supervised learning, etc.
  b) multimodal generation, such as text-to-image/video/3D generation and editing, and other related multimodal experiences, diffusion model, GAN, transformer for generation tasks.
• Familiar with the training and deployment of one or more frameworks such as PyTorch/TensorFlow//MXNet, and familiar with training acceleration methods such as mixed-precision training and distributed training.

Preferred Qualifications

• Familiar with the latest research and technological progress in model compression acceleration, including but not limited to model quantization, pruning, knowledge distillation, and inference frameworks such as TensorRT;
• Strong practical skills, priority given to those who have published papers in related competitions and top academic conferences.

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. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected]