Please refer to JobSuchmaschine in your application
At Nomoko, machine learning plays an integral role in our ability to further improve our 3D reconstruction pipeline. Currently, we’re transitioning towards a machine-learningoriented approach in order to be able to add features such as object recognition or material detection to our 3D reconstruction pipeline. We’re looking for machine learning scientists and engineers to train and develop a stellar base framework for testing different machine learning algorithms.
In this role, you’ll be working alongside current engineers to tailor our algorithms to specific scenery in order to generate more realistic 3D models. If interested, please apply!
/ Setting up a base abstraction to enable rapid iteration and implementation of specific machine learning algorithms through popular deep and machine learning frameworks
/ Help to grow a team of machine learning scientists
/ Initiate research projects around the use of machine learning to improve a photogrammetry based 3D reconstruction pipeline
/ Have worked within C / C ++ and Python excessively
/ Understanding of common computer vision algorithms and practices related to structure-from-motion ( feature detection, description, matching, etc)
/ Have worked with open source frameworks extensively
/ Knows the fundamentals of neural network building blocks
/ Fluent in English
/ Experience with FPGA development
/ Previously worked with Caffe and Torch framework
/ Experience with CUDA
/ C / C ++ , Python, CUDA