Key Responsibilities Technical Leadership Lead end-to-end development of advanced AI models (e.g.,LLM, NLP, classification, regression, deep learning). Architect scalable model pipelines and data workflows in cloud-based environments. Establish best practices in model validation, explainability, fairness, and governance.
Key Responsibilities Technical Leadership Lead end-to-end development of advanced AI models (e.g.,LLM, NLP, classification, regression, deep learning). Architect scalable model pipelines and data workflows in cloud-based environments. Establish best practices in model validation, explainability, fairness, and governance.
Minimum qualifications: Bachelors degree or equivalent practical experience. 7 years of experience in a client-facing, sales, strategy, or business-engagement role within advertising, consulting, or internet. Ability to communicate in Chinese and English fluently to support clients
About Amazon Web Services Since 2006, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud. AWS has been continually expanding its services to support virtually any workload, and it now has more
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VLM Research Intern 深圳、上海 实习 互联网 / 电子 / 网游 27届AI人才专项计划（实习生专场） 职位描述 1、负责大模型 VLM: Vision-Language Model在人形机器人中的算法设计与开发，将VLM应用于人形机器人的对话、环境感知与人机交互任务；2、参与大模型的Pretrain与Mid-training（long-context training），并利用数据合成技术打造高质量的预训练/后训练数据集；3、与机器人平台团队、硬件团队紧密协作，实现模型在实际机器人系统中的高效运行；4、跟踪前沿研究，推动新技术在产品中的落地应用。 职位要求 1、计算机、人工智能、自动化等相关专业硕士及以上学历；2、具备扎实的深度学习基础，熟悉Transformer、BERT、ViT、CLIP等主流视觉-语言模型架构；3、有大模型 VLM 的训练/微调/推理优化经验，熟悉其在多模态任务中的应用；4、熟练使用Pytorch深度学习框架，具备良好的工程能力和代码实现能力；5、良好的团队协作与沟通能力，具备快速学习和解决问题的能力。【加分项】1、有使用大语言模型进行数据合成（Data synthesis）的相关经验；2、对大语言模型的预训练/后训练数据集有一定了解，有处理Trillion级别数据集的相关经验；3、有参与实际LLM预训练或后训练的相关项目经验；4、熟悉开源大模型生态（如Qwen, Llama等），对大模型的模型结构优化（如linear attention，Mixture-of-Expert等）有一定了解；5、有参与ViT预训练或后训练的相关项目经验，有多模态大规模数据集的处理经验；6、有在 CVPR、ICCV、NeurIPS 等人工智能/计算机视觉/机器学习顶级会议发表论文的经历。 投递...
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