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PhD Internship-AI Technical Assistant Researcher

PhD Internship-AI Technical Assistant Researcher

China Mobile International LimitedHK
18 days ago
Job description

PhD Internship-AI Technical Assistant ResearcherChina Mobile (Hong Kong) Innovation Research InstituteHKInnovation and R&DApply

Responsibility

  • AI系统架构设计；
  • AI技术在垂直领域（如5 / 6G，web3.0，教育，医疗，法律，金融，AI4Science等）的应用场景，设计端到端解决方案并推动落地验证；
  • AI平台与工具的研发，涵盖数据治理、模型训练、推理加速、自动化评估等全链路技术攻关；
  • CNN / RNN / Transformer / GAN等），有计算机视觉（CV）、自然语言处理（NLP）、大模型，强化学习等领域研发经验者优先；
  • TensorFlow / PyTorch等框架，掌握Python / C++等编程语言，具备分布式训练、模型压缩、边缘端推理等工程化经验；具有大模型（如LLM、多模态模型）开发经验者优先；
  • AI与垂直领域（如5 / 6G，web3.0，教育，医疗，法律，金融，AI4Science）结合的实践经验者优先；

Requirements

  • Job Description :
  • Lead research and development of core AI technologies, including machine learning algorithm design, deep learning model optimization, large language model training and deployment, and AI system architecture design.
  • Explore AI application scenarios in vertical domains (e.g., 5 / 6G, Web3.0, education, healthcare, legal, finance, AI4Science), design end-to-end solutions, and drive implementation validation.
  • Spearhead development of AI platforms and tools, covering full-chain technical challenges including data governance, model training, inference acceleration, and automated evaluation.
  • Facilitate cross-team collaboration, promote industry-academia cooperation, open-source community contributions, academic paper publications, and patent portfolio development.
  • Complete other tasks assigned by the leadership.
  • Requirements :
  • PhD candidate in Computer Science, Mathematics, Statistics, Artificial Intelligence, or Data Science. Open-source community contributors is a plus.
  • Strong theoretical foundation in machine learning and deep learning, familiar with mainstream algorithms (CNN / RNN / Transformer / GAN). R&D experience in computer vision (CV), natural language processing (NLP), large language models, or reinforcement learning.
  • Proficient in TensorFlow / PyTorch frameworks and Python / C++ programming languages. Engineering experience in distributed training, model compression, and edge-side inference required. Large language model development experience (including MMLLM) is a plus.
  • Practical experience in integrating AI with vertical domains (5 / 6G, Web3.0, education, healthcare, legal, finance, AI4Science).
  • Excellent communication and coordination skills with fluent English proficiency (written and spoken) for daily research activities.
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