AI Research Engineer — Large-Scale Models & AI Platforms

China Mobile（Hong Kong）Innovation Research Institute; Hong Kong; On-site; HKD 800,000 - 1,200,000; Full time

Job summary

China Mobile（Hong Kong）Innovation Research Institute is seeking a senior AI researcher to lead R&D in core AI technologies, including machine learning algorithm design and deep learning model optimization. The role covers large-scale model training, deployment, and AI system architecture across various vertical domains.

The successful candidate will develop AI platforms and tools, focusing on data governance, training, inference acceleration, and automated evaluation, while collaborating with

Qualifications

• Master’s degree or above in Computer Science, Mathematics, Statistics, Artificial Intelligence, Data Science, or related fields.

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 AI applications in vertical domains (5G/6G, Web 3.0, education, healthcare, law, finance, AI for Science), design end-to-end solutions, and drive implementation and validation.
• Lead the development of AI platforms and tools, covering 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.

Skills

ML & DL fundamentals

Distributed training

Education

Master's degree or above in CS/Math/AI/Data Science

Tools

Python

C++

TensorFlow

PyTorch

Job description

China Mobile（Hong Kong）Innovation Research Institute is seeking a senior AI researcher to lead R&D in core AI technologies, including machine learning algorithm design and deep learning model optimization. The role covers large-scale model training, deployment, and AI system architecture across various vertical domains.

The successful candidate will develop AI platforms and tools, focusing on data governance, training, inference acceleration, and automated evaluation, while collaborating with