Sr. Data Vision Engineer

When you come in to get started, you will be building, testing and implementing AI models on video data to identify valuable objects amongst a lot of noise. You will need to develop cutting edge machine learning algorithms to identify various types of objects from a heterogeneous stream of materials. You will test algorithms on large scale heterogeneous data sets and deploy in production. You will be responsible for driving performance based algorithms for identifying key visual data. You will get time to be creating and find new ways to solve complex problems for data and help to develop a neural network for visual to control operations. Overall design, develop, and scale our visual capabilities.

Education: BS, MS, or PhD in Robotics, Computer Vision, Machine Learning with 3-4+ years of industry experience 5+ years of experience in building and optimizing deep neural networks. Excellent software skills in C++/Python/Java. Proven track record of experience or extensive research in relevant areas such as computer vision and building scalable machine learning algorithms. Strong understanding of the fundamentals of machine learning, deep neural networks, OpenCV, NumPy, etc. Strong knowledge of deep learning frameworks like Tensorflow, Pytorch, Caffe etc. Experience applying machine learning to vision data Bonus: OpenCV, PCL, CUDA, OpenCL, 3D Graphics, Camera Calibration