Posted on:31 Mar 2023 BACK TO SEARCH

Machine Learning Engineer

Kogniz, Inc.
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Key Skills

C++, Caffe, Deep Learning, Deep neural networks, Effective communication skills, Machine learning techniques, Python Programming, TensorFlow, Torch library, YOLO architectures

Job Description

We are looking for a brilliant machine learning engineer to join our Montreal development team. You will work on state of the art computer vision and machine learning projects, surrounded by a group of passionate, expert developers. Your work will directly affect technology that is being used by some of the top companies in the world. Kogniz is growing fast and this is your chance to be part of the next great venture-backed startup.

  • Undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics
  • 1-2 years machine learning experience, either in industry or from personal projects
  • Successfully trained and deployed a deep learning machine model, with measurably improved performance over baseline, either in industry or as a personal project
  • Strong experience with high-level machine learning frameworks such as DLib, YOLO/Darknet, Tensorflow, Caffe, or Torch, and familiarity with the others
  • You know the ins and outs of C++ and Python, especially as it applies to the above ML frameworks
  • You are up-to-date on the latest deep neural net research and architectures, both in understanding the theory and motivations behind the techniques, as well as how to implement them in the ML framework of your choice
  • You have great communication skills and ability to work with others
  • You are a strong team player, with a do-whatever-it-takes attitude

Company Info.

Kogniz, Inc.

Kogniz leverages AI and computer vision to deliver the leading technology platform for improving workplace safety and security. The Kogniz platform can be implemented in days and integrates with a company’s existing infrastructure. Companies rely on Kogniz to provide safer, smarter spaces for occupational hazards, workplace violence, evacuation management, vehicle detection, and anomaly detection. Kogniz has received funding from Ulu Ventures,

  • Industry
    Computer software
  • No. of Employees
    10
  • Location
    Berkeley, CA, USA
  • Website
    https://www.kogniz.com
  • Jobs Posted

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