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TikTok

Computer Vision Algorithm Engineer-TikTok E-commerce

TikTok, Seattle, WA


Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
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.

Governance and Experience team of e-commerce are responsible for ensuring the safety and trustworth of the marketplace for not only our users, but also sellers and creators. We value our users' satisfaction by working on policies, rules and systems to ensure the quality. We are looking for an algorithm technical manager who is obsessed with customer experience and passionate about building systems to detect various risks that can sabotage platform trust.
Responsibilities:
• Responsible for the optimization and iteration of computer vision related models in the e-commerce scene, including fine grain classification, Product object recognition, Product subject recognition, feature extraction, logo detection, brand recognition, etc., to optimize the merchant's product loading and unloading process.
• Responsible for e-commerce short video and livestream classification, multi-modal content mining, multi-modal content understanding, optimize e-commerce short video and livestream shopping experience.
• Responsible for e-commerce image search, photo search goods, goods duplication algorithm.
• Explore the cutting-edge technology of computer vision, responsible for the iteration and evolution of the overall algorithm and system.

Qualifications
• In-depth research in a certain field of multimedia and computer vision, including but not limited to: image search, image/video classification and recognition, image segmentation, object detection, OCR, graph neural networks, multimodal, unsupervised and self-supervised learning, etc.;
• Familiar with the training and deployment of one or more framework models of TensorFlow/PyTorch/MXNet, and understand training acceleration methods such as hybrid precision training and distributed training;
• Familiar with the latest research and technical progress of model compression acceleration, including but not limited to model quantization, pruning, knowledge distillation, etc., and inference frameworks such as TensorRT;
• Strong practical ability, winners in Kaggle, COCO, ImageNet, ActivityNet, ICPC, NOI/IOI and other competitions are preferred;
• Multi-modality Large Language Model (MLLM) Experience: practical experience in MLLM training/inference infrastructure, Strong interest in developing MLLMs for e-commerce products and Video/Live applications. Familiar with or have experience on open-source MLLMs such as Video-LLaMA, InstructBLIP2, Valley, MiniGPT-5, etc.
• Strong practical ability, papers published in relevant competitions and top academic conferences (such as CVPR, ICCV, ECCV, etc.) are preferred.

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.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at [redacted].