Senior Computer Vision & AI Research Engineer

• Design and deploy robust AI models for key computer vision tasks, including object detection, image segmentation, video understanding, and image generation (e.g., GANs, diffusion models)
• Develop algorithms for detecting visual anomalies, inconsistencies, and manipulations-while documenting the designs for long-term maintainability
• Conduct and publish high-quality research in top-tier conferences and journals
• Optimize AI pipelines for efficiency and scalability across cloud and edge platforms
• Implement secure, high-performance solutions using C++, Python, and modern deep learning frameworks such as PyTorch and TensorFlow
• Apply advanced model compression techniques (quantization, pruning, architecture search) for real-time or resource-constrained environments
• Perform robustness testing, adversarial evaluation, and model hardening for production readiness
• Work closely with cross-functional teams including Front-End, Back-End, DevOps, and LLM teams to ensure seamless product integration
• Stay current with emerging trends in computer vision, machine learning, and multimodal AI (e.g., Vision-Language Models)

• Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, or a closely related technical field
• Master's or Ph.D. in Computer Vision, Machine Learning, or a related area
• 5+ years of hands-on experience developing and deploying computer vision and machine learning models
• Advanced proficiency in Python and C++
• Strong experience with PyTorch or TensorFlow
• Deep understanding of face recognition, object detection, segmentation and object tracking.
• Familiarity with generative models (GANs, diffusion models) and synthetic data generation
• Strong foundation in linear algebra, probability, optimization, and numerical methods
• Proficiency in debugging, profiling, and optimizing high-performance AI systems
• Excellent collaboration and communication skills across interdisciplinary teams

Huawei