Senior Computer Vision Engineer

TCL Corporate Research (Hong Kong) Co., Limited; Hong Kong; On-site; HKD 600,000 - 800,000; Full time

Job summary

Leadingnation is seeking a skilled researcher to drive R&D in computer vision, focusing on algorithms for image processing and video analysis.

You will train and optimize vision models, improve robustness and inference efficiency, and explore multi-modal vision and cross-modal fusion. The role requires staying current with top conferences and translating findings into business applications. Participation in algorithm contests and publishing results is encouraged to build industry influence.

Qualifications

• Master's degree or above in a related field; Ph.D. preferred.
• At least 2 years of work experience in computer vision with core algorithms.
• Proven end-to-end vision model training and deployment; proficient in DL frameworks.
• Strong logical analysis and teamwork; able to lead technical projects.

Responsibilities

• Lead R&D of core computer vision algorithms for image processing and video analysis.
• Train, optimize, and iterate vision models to improve accuracy and efficiency.
• Explore multi-modal vision technology, cross-modal semantic alignment and fusion.
• Follow latest research and translate breakthroughs into business applications.
• Participate in algorithm competitions and publish papers to build industry influence.

Skills

Computer Vision

Teamwork

Logic & Analysis

Education

Master's degree or above

Tools

PyTorch

TensorFlow

Job description

Responsibilities

1. Lead the R&D of core algorithms in the field of computer vision, covering technical implementation for business scenarios such as image processing and video analysis.




2. Drive the training, optimization, and iteration of vision models to enhance accuracy, robustness, and inference efficiency in complex scenarios.




3. Explore cutting-edge directions in multi-modal vision technology, conducting research and application deployment in cross-modal semantic alignment and multi-source information fusion.




4. Follow the latest research findings from top-tier conferences and journals, translating technological breakthroughs into business applications to strengthen the company's technical competitiveness.




5. Participate in algorithm competitions, technical patent applications, and academic paper publications to consolidate technical achievements and build industry influence.

Requirements

1. Master's degree or above in Computer Science, Electronic Engineering, Automation, Applied Mathematics, or related fields; Ph.D. holders are preferred.




2. At least 2 years of work experience in computer vision, with professional proficiency in core algorithms and common toolchains for image processing and video analysis.




3. Proven end-to-end experience in vision model training and deployment; highly proficient in mainstream deep learning frameworks (such as PyTorch/TensorFlow), with the ability to independently manage the full lifecycle from model selection and training tuning to deployment.




4. Strong logical analysis and teamwork skills, capable of independently leading technical projects and driving business requirements to completion.

Preferred Qualifications

1. Experience in the research and application of multi-modal vision models.




2. A publication record of papers in top-tier conferences such as CVPR, ICCV, ECCV, or NeurIPS.




3. Award-winning experience in prestigious computer vision competitions.