Lead Machine Learning, Computer Vision Software Engineer

7 Minutes ago • 3-5 Years

Research Development

Job Description

Our client, a leading manufacturer of high-end household appliances, is expanding into new smart product lines, implementing a large-scale global program. This role involves working with computer vision perception and camera ISP engineers to define image quality requirements and develop image processing algorithms for computer vision applications. Responsibilities include developing custom ML models, optimizing them through quantization and pruning, evaluating data, and implementing algorithms in C++ for camera AI, covering them with unit tests, and integrating machine learning modules.

Good 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.

Must Have:

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 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.
Integrate machine learning modules into algorithms.
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, with 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.
Decent understanding of geometry 2D/3D and algebra.

Add these skills to join the top 1% applicants for this job

cpp

game-texts

cuda

opencl

linux

opencv

pytorch

computer-vision

vulkan

open-gl

algorithms

open-cv

tensorflow

machine-learning

##### 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

##### Other

Languages

English: C1 Advanced

Seniority

Lead

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