Machine Learning Engineer at Deep Sentinel
Pleasanton, CA, US

Design and develop a scalable machine learning system for on-premise computational clusters.

Design and develop data collection pipeline for training deep learning models.

Train deep learning models to identify potential threats from camera video streaming.

Deploy trained AI model to Qualcomm SnapDragon and integrate the model with the current computer vision system for image classification/object detection tasks.

Conduct research to iteratively improve the image classification/object detection model performance.

Function as the main contributor/maintainer of the AI team code repository.


Master’s degree in Computational Biology, Computer Science, or closely related +1 year experience. Any suitable combination of education, training, or experience is accepted.


Linux, Bash, C++, Convolutional Neural Network, Deep Learning, Embedded System