AI大模型研发工程师 1.跟踪和探索CV,NLP,多模态等大模型关键技术,参与预训练大模型研发,以及AI项目的投研工作。 AI Large Model R&D Engineer 1. Track and explore kev technologies related to large models such as CV, NLP. multimodality, etc., participate in the development of pre-training large models, and work on investment and research for AI projects
任职要求: 1.硕士研究生及以上学历,人工智能、计算机、通信、自动化等相关专业 2.具备一定的科研能力,具备快速学习新技术的能力,能熟练阅读并理解相关领域的学术论文 3堂握Python、C++等至少一种开发语言,熟悉Pytorch/TensorFlow/PaddlePaddle/MindSpore等至少一种框架 具备CV,NLP大模型训练经验者优先,如CAE、MAE、Transformer、Diffusion等相关经验,具备业界典型大模型训练和调优经验者优先, 4.有大规模分布式算法相关开发经验者优先 在计算机视觉(CVPR,ICCV,ECCV)和机器学习(NIPS,ICML,AAAI)等相关会议发表论文者优先考虑 5.具备高质量生产环境的模型部署能力。 1. Master's degree or above in artificial intelligence, computer science, communication,automation.or related fieldsHave certain scientific research capabilities, the ability to quickly learn new technologics, and the ability to read and understand academic papers in relevant fields 2, Proficient in at least one development language such as Python, C++ and familiar with at least one framework such as Pytorch/TensorFlow/PaddlePaddle/MindSpore. Candidates with experience in training large models for CV and NLP, such as CAE,MAE, Transormer, Diffusion, are preferred. Those with experience in industry typical large modeltraining and tuning are preferred 3. Candidates with experience in developing large-scale distributed algorithms are prefrred. 4, Priority will be given to those who have published papers in related conferences suchas computer vision(CVPR,ICCV,ECCV) and machine learning (NIPS,ICML,AAAI) 5. Ability to deploy high-quality models in production environments
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