Huawei R&D Türkiye is seeking a Senior Computer Vision & AI Research Engineer to join our cutting-edge CV-AI Algorithm Development team. In this high-impact role, you will lead the design, development, and deployment of next-generation AI systems that power visual understanding, image synthesis, and secure visual intelligence applications.
This is a unique opportunity to work at the intersection of applied research and production systems—developing models that run on billions of devices around the world. If you’re driven by innovation, scalability, and real-world impact, we’d love to hear from you.
Requirements
What You’ll Do
- 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)
What We’re Looking For
- 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
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