Lead Machine Learning, Computer Vision Software Engineer

About the Job:
Our client, a leading manufacturer of high-end household appliances, is expanding into new smart product lines. As part of this strategic initiative, a large-scale global program is being implemented across the company's IP portfolio. This includes the development of new embedded software and enhancements to cloud infrastructure.

Responsibilities:

• Work directly with computer vision perception engineers and camera ISP engineers.
• Define image quality requirements for customer use cases.
• Develop image processing algorithms to optimize camera image quality for performance improvement of computer vision applications.
• Develop custom ML models for visual recognition and train from scratch.
• Perform quantization and pruning of ML models.
• Evaluate data using relevant metrics to increase model performance.
• Implement computer vision/image processing algorithms in fast/optimal C++ code.
• Implement heuristic/math algorithms and probabilistic methods for camera AI.
• Research existing C++ solutions for CV logic.
• Develop cross-platform C++ code.
• Cover algorithms and CV code with unit tests.
• Ramp up on new technologies related to CV/ML/algorithms (not R&D).
• Integrate machine learning modules into algorithms.

Skills Requirements:
Must Have:

• Bachelor's Degree or greater in Computer Science, Software Engineering, or related field.
• 3-5 years of experience developing computer vision applications/algorithms.
• Participation in at least 2 image processing/computer vision projects, with at least 1 productized.
• Strong background/understanding of image processing/computer vision.
• Strong C/C++ experience.
• Experience with OpenCV and ML frameworks such as PyTorch, TensorFlow, TensorFlow Lite.
• Deep understanding of neural network architectures.
• Experience working with embedded devices in C++ on Linux.
• Decent understanding of geometry (2D/3D) and algebra.
• Desire to learn new technologies.
• Commitment to test-driven development (in CV/ML too).

Nice to Have:

• Experience with machine learning integration and inference engines.
• General understanding of machine learning.
• Experience building for Android/Yocto.
• Understanding of OpenCL/CUDA or OpenGL/Vulkan (shaders) and a desire to learn or experience with different SIMD languages.

Location:
Dubai, United Arab Emirates

Work Conditions:
On-site, Full-time