Computer Vision Algorithm Researcher, I

RS-Remote

EMEA

Req #: 109805
Type: Employee|Employee|Regular Full-time
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Zebra Technologies

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				Overview:

The computer vision algorithm researcher I will work to advance exploratory research and development projects in computer vision and machine learning and related fields to create highly innovative customer solutions. The algorithm research will develop perception & learning systems using 2Dand 3D visioning systems that are Enterprise-grade and ready for real world deployment. Work is evaluated upon completion to ensure objectives have been met.

Responsibilities:

* Development of computer vision and machine learning algorithms and applications
* Learns to develop proof-of-concept implementations, prototypes and demos to fine-tune technologies to practical, state-of-the-art systems.
* Participate and provide input in project code reviews
* Perform experiments and evaluations to quantify and validate improvements made to existing systems.
* Receive detailed instructions to routine work, new projects or assignments
* Take responsibility for communicating with different engineers (embedded systems, backend server, computer vision) to continuously improve and optimize implemented algorithms
* Documentation of algorithms

Qualifications:

* Bachelor in computer engineering or computer science with selected courses in computer vision and machine learning
* 0-2 years work experience
* Basic foundation in computer vision; key areas of interest include at least 1of the following: object detection, tracking and recognition; multiple view geometry, 3D computer vision and SfM/SLAM; activity recognition
* Scripting and prototyping languages: Python, Matlab, C/C++
* Generic packages: OpenCV, Point Cloud Library
* Experience with Linux, Windows and ROS platforms
* Ability to grasp new concepts quickly
* Ability to adapt and use these patterns in innovative ways to develop custom solutions
* Ability to take initiative on issues and report results instead of waiting for task lists
* Good presentation skills, both prepared and "on demand" talks
			
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