Huinna Technology

<p>Job Responsibilities: <br><br><br>3. Responsible for the research and development of large models/multi-modal large models, and promoting their productization application. <br>4. Organize and write academic papers, participate in algorithm intellectual property-related work. <br>5. Complete other related tasks assigned by the leader and support the achievement of the team's goals.<br><br>Requirements:<br>1. Bachelor's degree or above, majoring in Computer Science, Mathematics, Artificial Intelligence or related fields, those with work experience in deep learning and machine learning are preferred. <br>2. Have solid computer vision foundations, and be proficient in C++ , Python, etc. programming language. <br>3. Have a deep understanding of CNN, Transformer, etc., deep learning theory and its classic network architectures, and be able to apply them flexibly to practical scenarios. <br>4. Proficient in using PyTorch, Transformers, etc. deep learning frameworks, able to quickly understand and apply open source code based on these frameworks.<br>5. Have good English and math skills, be able to read deeply related to deep learning papers, and have in-depth research and unique insights into classic papers. <br><br><br>The following conditions may be given priority: <br>- Published relevant academic papers in international renowned journals.<br>- Have relevant project experience in target detection, pedestrian identification, pedestrian structuring, etc. <br>- Experience in developing Transformer-based algorithms or multimodal large models.<br></p>