Lead 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 optimize camera image quality for performance improvement of computer vision applications
• Develop custom ML models for visual recognition and train them from scratch
• Quantize and prune 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 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
• Participated in at least 2 image processing / computer vision projects and 1 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 working with embedded devices in C++ on Linux
• Good understanding of geometry (2D/3D) and algebra
• Desire to learn new technologies
• Desire to follow test driven development (in CV/ML as well)

Nice to have

• Experience with machine learning integration, inference engines
• General machine learning understanding
• Experience building for Android/Yocto
• Experience/understanding of OpenCL/cuD, or OpenGL/Vulkan (shaders) and desire to learn other SIMD languages