
Computer Vision Algorithm Researcher, I
1 semana atrás
**Remote Work: Yes**
**Overview**:
At Zebra, we are a community of innovators who come together to create new ways of working to make everyday life better. United by curiosity and care, we develop dynamic solutions that anticipate our customer’s and partner’s needs and solve their challenges.
Being a part of Zebra Nation means being seen, heard, valued, and respected. Drawing from our diverse perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries to redefine the work of tomorrow for organizations, their employees, and those they serve.
You have opportunities to learn and lead at a forward-thinking company, defining your path to a fulfilling career while channeling your skills toward causes that you care about - locally and globally. We’ve only begun reimaging the future - for our people, our customers, and the world.
Let’s create tomorrow together.
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**:
- 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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