AI Engineer - Computer Vision and Deep Learning

R&D
Migdal Haemek
Full-time
Description

As an AI Engineer, you will be at the forefront of designing, researching, and developing state-of-the-art deep learning solutions for challenging computer vision problems. Your work will span across tasks such as classification, detection, regression, generative modeling, segmentation, and other high-impact vision applications. You will collaborate closely with multidisciplinary teams to build innovative AI systems, while also shaping the future of intelligent visual inspection technologies.

Your role includes hands-on model development, end-to-end AI solution design, and the transition of research-grade models into robust, optimized, production-ready systems.

KEY RESPONSIBILITIES

Research, design, train, and evaluate deep learning models, both from scratch and by fine-tuning pre-trained models.
Develop solutions for diverse vision tasks, including classification, detection, regression, segmentation, and generative modeling.
Implement and maintain AI infrastructure to streamline experimentation, training, and deployment.
Optimize models for runtime performance, memory, and inference efficiency using tools such as TensorRT and ONNX.
Drive projects from ideation to production in collaboration with software, algorithms, and product teams.

Requirements
B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related technical field from a recognized university.
3+ years of hands-on experience in research and development of deep learning algorithms for computer vision.
Proven experience in training deep neural networks (DNNs) from scratch and working with large-scale models.
Proficiency with PyTorch, Python, TensorRT, ONNX, and version control using Git in both Windows and Linux environments.
Ability to design and implement innovative algorithms, with strong analytical and problem-solving skills.
Excellent collaboration, communication, and documentation skills.
Self-motivated and independent, capable of driving experiments, interpreting results, and proposing improvements.

ADVANTAGE

An M.Sc. degree and publications in top-tier computer vision or AI venues are considered a strong plus.
Expertise in image data processing and various computer vision pipelines.
Familiarity with C++ and C#.
Experience working with generative models (e.g., diffusion models) and solving regression and other vision-based prediction tasks.
Familiarity with CUDA and GPU-level performance optimization.