Job11

ENGINEERING - MACHINE LEARNING ENGINEER

Focus on both machine learning algorithm research and software application development mainly in machine vision field.
Research and implement algorithms of object detection and human recognition.
Improve deep learning algorithms identifying human activities in videos with open-source deep learning libraries/framework.
Implement applications with software development platforms/tools such as Python, C++/C, Shell script and libraries as OpenCV, Scikit-learn.
Work with team to develop software application, maintain software programs, and improve their scalability.
Test and validate software which integrates machine learning models and application.
Improve software features based on customers’ requirements and feedbacks.
Perform machine learning training on cloud platforms to increase training/verification performance.
Use open-source image datasets to verify performance of designed machine learning algorithms.
Use experiment results to do statistical analysis and fine-tuning algorithms.
Develop model compression methods, such as quantization, pruning, weight sharing to refine our machine learning model.
Efficiently integrate models/software application on hardware platform without accuracy loss.
Co-work with hardware/firmware team to develop machine learning algorithms on the AI-DSP engine of storage products.
Assist verification/testing team to evaluate model performance and fine-tune parameters on AI-DSP chips.