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Deep Learning Video Analytics Engineer

Job Description

 Job Summary:

The Video Analytic AI Engineer will focus on the design and implementation of state of the art AI algorithms and models for embedded systems. You will be responsible to design and learn convolutional neural networks for visual and thermal sensors for different businesses. Those object detection and classification networks have to be able to run on embedded cameras that consists of dedicated vector processors and ARM processors.

Primary Duties & Responsibilities:

  • Create more efficient object detection and classification models for different businesses
  • In collaboration with other colleagues, develop and implement advanced algorithms algorithms on embedded camera’s
  • Responsible to evaluate the performance of implemented algorithms
  • Following the state of the art in the field of computer vision
  • Documenting and share the knowledge along the international AI team
  • Job Qualifications:

  • Master or PhD degrees in Computer Science, Applied Mathematics, Computer Engineering or Electrical Engineering
  • Experience with computer vision and video analytics, using convolutional neural networks
  • Experiences in the field of computer vision and image processing
  • Experience with programming in C or C++ is a plus
  • Experience with object-oriented design methodology and concepts is a plus
  • Must be a results-oriented professional with solid organizational and time management skills
  • Teledyne FLIR and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions.


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