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    Computer Vision Algorithm Engineer - San Jose, United States - Tik Tok

    Tik Tok
    Tik Tok San Jose, United States

    3 weeks ago

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    Description
    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, Mumbai, Singapore, Jakarta, Seoul and Tokyo. Why Join Us At TikTok, our people are humble, intelligent, compassionate and creative. 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.

    Join us and make impact happen with a career at TikTok.

    Our team is responsible for developing state-of-the-art CV/NLP/ML algorithms and strategies to improve user consumption experience, inspire merchants' service quality and revenue, and build a fair and flourishing ecosystem on our E-commerce Platform.

    More specifically, our team is responsible for the algorithms of Product Knowledge Graphs under TikTok's global e-commerce business.


    What you will do:

    • Participate in the development of massive knowledge graphs of real-world products to support feed ranking, recommendations, and ads.
    • Collaborate with product managers, data scientists, and the product strategy & operation team to define product strategies and features

    Responsibilities:

    • Knowledge graph construction, including product/content/feedback understanding and category/brand/SPU construction.
    • Explore the implementation of Knowledge Graph and Cognitive Graph on the e-commerce side of TikTok e-commerce shopping guide.
    • Responsible for the mining of e-commerce shopping guide knowledge such as shopping scenes/people/goods matching/product layering.
    • 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.
    • In-depth knowledge 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; 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 during our recruitment process. If you need assistance or an accommodation, please reach out to
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