Senior Computer Vision/Deep Learning Engineer

We are utilizing a city's existing fleet and a growing number of mobile devices connected to our network, we collect real-time data that supports the enforcement of traffic laws. We are implementing the first technology provider to create a vision-based solution capable of detecting, understanding, and determine causation of traffic violations, to help cities achieve their Vision Zero safety goals.

• Responsible for developing computer vision and machine learning technologies for prototyping and deployment on cloud and embedded systems.
• Building road scene reconstruction system using computer vision and other sensors with following techniques:
• applied deep learning (object detection, semantic segmentation, depth prediction etc.)
• motion & trajectory estimation,
• scene understanding,
• visual odometry,
• sensor fusion,
• mutli-object tracking,
• camera calibration,
• parameter estimation & optimization
• lanes and road layout estimation
• Experimenting with real-world data to validate, evaluate and improve the algorithms.
• Responsible for productizing the CV/ML algorithms into product features, with support and guidance from other system engineering teams

MUST

• Computer Science engineering degree or equivalent - Math, Physics or similarly quantitative-heavy background
• Experience with OpenCV and Pytorch, also other computer vision/deep learning libraries
• Experience in building visual data processing pipelines, including the design of necessary validation automation
• Ability to transfer prototyping code/algorithm into production grade feature of a working system (C++)
• Experience in Python, OpenCV, Dlib
• Experience with common Machine Learning methods
• Experience with Pytorch, Keras or TensorFlow is a plus
• Experience in using Deep Learning models in automotive projects (object detection, scene semantic segmentation etc.)
• 5+ years of experience ii IT projects, ideally similar position

NICE TO HAVE

• Experience in C++
• Knowledge of Nvidia TensorRT, DeepStream SDK
• Experience in deep learning models optimization (pruning, quantization, knowledge distillation etc.)