英特尔校园招聘-大语言模型研发实习生招聘信息

工作职责：

1. 负责 NLP/多模态 大模型研究和开发
2. 负责工业/学术界相关领域前沿AI大模型算法的跟踪、复现与效果调优
3. 支撑大模型的各种落地应用，将大模型应用于真实场景

职位要求：

1. 计算机或相关专业硕士以上学历
2. 熟练掌握深度学习、机器学习、自然语言处理/计算机视觉的基础知识，熟悉常用模型的原理、特点及应用，能够结合需要解决的问题选择适当的模型，并设计合理的技术方案
3. 熟悉TensorFlow、PyTorch等深度学习框架，熟悉Transformer、ResNet、AlexNet等典型深度学习模型的原理和实现
4. 熟悉Python，熟悉LINUX环境

加分项：

1. 有大规模语言模型（LLMs）和Visual-Language Model方面经验者优先
2. 在国际顶级会议、期刊上，有优异的发表记录可加分（包括不限于ICLR、ICCV、CVPR、ACL、NeurIPS、ICML、TPAMI等）
3. 有国际竞赛成果可加分

Job Responsibilities:

1.Responsible for the research and development of LLMs/VLMs.

2.Track, reproduce, and optimize the performance of cutting-edge AI models in industrial and academic fields.

3.Support various practical applications of large models and implement them in real-world scenarios.

Qualifications:

1.Master's degree or above in computer science or a related field.

2.Proficient in fundamental knowledge of deep learning, machine learning, natural language processing, or computer vision. Familiar with the principles, characteristics, and applications of commonly used models. Capable of selecting appropriate models and designing reasonable technical solutions based on problem requirements.

3.Familiar with deep learning frameworks such as TensorFlow and PyTorch. Knowledgeable about the principles and implementation of typical deep learning models like Transformer, ResNet, AlexNet.

4.Proficient in Python and familiar with the LINUX environment.

Bonus Points:

1.Prior experience in LLMs and Visual-Language Models.

2.Excellent publication record in top international conferences and journals, including but not limited to ICLR, ICCV, CVPR, ACL, NeurIPS, ICML, TPAMI.

3.Achievements in international competitions are a plus.

投递链接：https://chinacampus.jobs.intel.cn/intel/position/detail?positionId=659b9727febe0023c41ef47c&recruitmentType=INTERNSHIPRECRUITMENT&currentLang=zh_CN