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China Mobile（Hong Kong）Innovation Research Institutevia Google Jobs
AI Research Engineer AI技术研究员
Hong KongPosted 3mo ago
ResearchMid Level#python#pytorch#tensorflow#transformers#computer-vision#nlp#reinforcement-learning
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About the Role
Responsibilities
Conduct research and development of core AI technologies, including machine learning algorithm design, deep learning model optimization, large‑scale model training and deployment, and AI system architecture design;
Explore the application of AI technologies in vertical domains (such as 5G/6G, Web 3.0, education, healthcare, law, finance, AI for Science, etc.), design end‑to‑end solutions, and drive implementation and validation;
Lead the development of AI platforms and tools, covering the full technical stack including data governance, model training, inference acceleration, and automated evaluation;
Collaborate across teams to promote industry‑academia‑research cooperation, contribute to open‑source communities, publish academic papers, and participate in patent strategy planning;
Complete other tasks assigned by leadership.
Requirements
Master’s degree or above from a full‑time accredited institution in Computer Science, Mathematics, Statistics, Artificial Intelligence, Data Science, or related fields; contributions to open‑source communities are preferred;
Solid theoretical foundation in machine learning and deep learning; familiarity with mainstream algorithms and models (e.g., CNN, RNN, Transformer, GAN); experience in areas such as computer vision (CV), natural language processing (NLP), large models, or reinforcement learning is preferred;
Proficient in frameworks such as TensorFlow or PyTorch, and programming languages like Python or C++; engineering experience in distributed training, model compression, and edge inference is a plus; hands‑on experience in developing large models (e.g., LLMs or multimodal models) is preferred;
Practical experience integrating AI with vertical industries (e.g., 5G/6G, Web 3.0, education, healthcare, law, finance, AI for Science) is a strong advantage;
Excellent communication and coordination skills, with fluency in English (listening, speaking, reading, and writing) for daily research activities.
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Conduct research and development of core AI technologies, including machine learning algorithm design, deep learning model optimization, large‑scale model training and deployment, and AI system architecture design;
Explore the application of AI technologies in vertical domains (such as 5G/6G, Web 3.0, education, healthcare, law, finance, AI for Science, etc.), design end‑to‑end solutions, and drive implementation and validation;
Lead the development of AI platforms and tools, covering the full technical stack including data governance, model training, inference acceleration, and automated evaluation;
Collaborate across teams to promote industry‑academia‑research cooperation, contribute to open‑source communities, publish academic papers, and participate in patent strategy planning;
Complete other tasks assigned by leadership.
Requirements
Master’s degree or above from a full‑time accredited institution in Computer Science, Mathematics, Statistics, Artificial Intelligence, Data Science, or related fields; contributions to open‑source communities are preferred;
Solid theoretical foundation in machine learning and deep learning; familiarity with mainstream algorithms and models (e.g., CNN, RNN, Transformer, GAN); experience in areas such as computer vision (CV), natural language processing (NLP), large models, or reinforcement learning is preferred;
Proficient in frameworks such as TensorFlow or PyTorch, and programming languages like Python or C++; engineering experience in distributed training, model compression, and edge inference is a plus; hands‑on experience in developing large models (e.g., LLMs or multimodal models) is preferred;
Practical experience integrating AI with vertical industries (e.g., 5G/6G, Web 3.0, education, healthcare, law, finance, AI for Science) is a strong advantage;
Excellent communication and coordination skills, with fluency in English (listening, speaking, reading, and writing) for daily research activities.
#J-18808-Ljbffr
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