ByteDance, Singapore
(1) Explore cutting-edge NLP technologies: from basic word segmentation, NER, to application-based Query analysis, basic correlation, etc., full-link application of deep learning models, every detail is full of challenges; (2) Cross-modal matching technology: Apply CV + NLP deep learning technology in search to make search have more powerful retrieval capabilities in the above businesses. Engage in the research and development of video search, visual search and other related algorithms, including video content understanding, visual representation learning, multi-modal fusion, etc.; (3) Personalized search: Apply large-scale machine learning to solve the recommendation problem in search, and make search more personalized and understand you better; (4) Hundreds of billions of data: from large-scale offline computing, distributed system performance, scheduling optimization, to building high-availability, high-throughput, and low-latency online services, there are in-depth research and innovation.
Our Search Multimodel Team focuses on building industry-leading large model-based search technology. With deep expertise in NLP, CV, and multimodal technologies, our team combines engineering practices with academic research to continuously explore cutting-edge applications in search technology. Leveraging company's vast data resources and powerful computing capabilities, our team provides a solid foundation for technological development.
Through large models, our team aims to address challenges in complex search scenarios, with technical achievements directly applied to our search functions to enhance user experience and support business growth.
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TikTokSan Jose, California
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