Computer Vision Algorithm Researcher II

Zebra Technologies•Holtsville, NY

2d•Hybrid

About The Position

The computer vision algorithm researcher II 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 researcher will develop perception & learning systems using 2D and 3D visioning systems that are Enterprise-grade and ready for real world deployment. Work is evaluated upon completion to ensure objectives have been met.

Requirements

Bachelor or Masters in computer vision or machine learning
2+ years of relevant work experience

Nice To Haves

Basic foundation in computer vision; key areas of interest include at least 2 of 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

Responsibilities

Development of computer vision and machine learning algorithms and applications
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 general 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
Create automated software tests and provide support to trouble shoot software issues when needed
Documentation of algorithms