Job Description

0 - 3+ Years

• Researching and developing scalable computer vision and machine learning solutions
• for complex problems
• Collaborate in cross-functional teams to integrate image analytics algorithms and
• software, as well as develop system prototypes
• Proficiency with vector quantization and clustering to build search engines and systems

• Understanding of computational geometry, statistics, and linear algebra
• Maintain and develop software modules for large-scale image and LiDAR data
• processing in the cloud
• Analyze and improve the efficiency and stability of various deployed systems
• Work well in a collaborative team environment

What We Look For

• 3+ years of experience with computer vision, deep learning, and machine learning
• 2+ years of experience in vectorization of raster data using computer vision
• 2+ years of experience working with drawing/CAD/GIS file formats (extraction manipulation and generation Dxf,SVG shapefiles, etc)

• 2+ years experience with programming languages like C, C++, Matlab and Python
• Experience with Unix and Linux command-line tools and scripts
• Experience in OpenCV or other computer vision libraries, as well as deep learning
• frameworks like TensorFlow

• Experience with point cloud meshing, image segmentation, and 2D marker tracking
• Experience with three dimensional (3D) imaging concepts
• Proficiency with CNNs (Convolutional Neural Networks) and RNNs (Recurrent Neural
• Networks)
• Excellent analytical, mathematical, communication, and problem-solving skills
• Keeps up with the latest advancements in technology related to the field
• B.S., M.S. or Ph.D. in computer science, computer vision, machine learning or other
• related fields
• These Would Also Be Nice
• Experience with optimizing algorithms for embedded devices using OpenGL and OpenCL

• Experience with JIRA, Git, and agile project management
• Experience with WebRTC, ARM, and CUDA