Junior Machine Learning, Computer Vision Software Engineer

Project description

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, enhancements to cloud infrastructure.

Responsibilities

• - Work directly with computer vision perception engineers and camera ISP engineers.
• Define the image quality requirements for customer use cases
• Develop image processing algorithms to optimizing the camera image quality for performance improvement of computer vision applications
• Develop custom ML models for visual recognition and training it from scratch
• Quantization and pruning the ML models
• Data evaluation using relevant metrics to increase the 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 unitest
• Ramp up on new technologies related to CV/ML/algorithms (not R&D)
• Integrate machine learning modules into algorithms

SKILLS

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
• Participate in at least 2 image processing/computer vision projects, and 1 of them productized
• Image processing / computer vision background/understanding
• Strong C/C++ experience
• Experience with OpenCV and ML frameworks such as Pytorch, TensorFlow, TensorFlow Lite
• Deep understanding of neural network architectures
• Experience to work with embedded devices in C++ on Linux
• Decent understanding geometry 2D/3D and algebra.
• Desire to learn new technologies
• Desire to follow test driven development(in CV/ML too)

Nice to have

• Experience with machine learning integration, inference engines
• Machine learning general understanding
• Building for Android/Yocto experience
• OpenCL/CUDA or OpenGL/Vulkan(shaders) experience/understanding and desire to learn or any different SIMD language