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Sensagrate


Jobs

Junior Computer Vision Engineer

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Posted on: January 6, 2021 Apply Now
Internship Expires May 1, 2021

The Junior Computer Vision Engineer Intern is responsible for implementing software systems to improve our computer vision applications. Some of the responsibilities include updating machine learning algorithms, working in the convolutional neural network (CNN), annotating unique 2D and 3D data, collaborating with software developers, documenting procedures, and making sure projects are executed in time and within scope. Job Description

Time commitment is 10 to 24 hours per week from Sunday to Saturday. We are flexible and will work with you around your school and personal schedule. This internship will only be offered to highly motivated and qualified candidates who have a desire to learn, are passionate, are a culture fit into our company, and express interest in our technology.

Growth Experience: During your time with Sensagrate you will gain and advance your skills in coding C++ and python, computer vision, deep learning, machine learning, internet of things (IoT), edge computing, and sensor technologies (e.g., LiDAR and camera).

TO APPLY FOR THE POSITION PLEASE COMPLETE OUR ONLINE APPLICATION.

Click on the green “Apply Externally” button.

Sensagrate is developing a smart city and smart infrastructure platform that provides real-time data to support intelligent decision making for smart city use cases. The platform is a computer vision perception AI software and reporting called SensaVision developed from deep learning algorithms for cameras (2D) and LIDAR (3D) data. We use the 2D and 3D visual data to merge into a process called sensor fusion. The software detects, classifies, and tracks motorized and non-motorized objects in real-time and aggregates the data for analytics and reporting. We are targeting a 95% object detection accuracy rating as our algorithms continue to learn. Smart city and infrastructure applications can improve some key quality-of-life indicators by 10% to 30%. Review our fact sheet.

Learning objectives: computer vision technology in sensors from LiDAR, camera, and RADAR. Deep learning methodologies, data structure, algorithm development, end-to-end sensor integration on an IoT edge device with processed data to the cloud, and analytics.

Training the intern will receive include but not limited to the following: software development, deep learning model, machine learning development, algorithm implementations, and design, sensor technology, AI fundamentals, data structure, software development methodologies and best practices, project management, product management, and agile methodologies.

Supervisor titles: President, Co-Founders, Director of Computer Vision, Director of Software Engineering

Apply Now
Arizona State University W. P. Carey School of Business
Career Management and Employer Engagement
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