Computer Vision Algorithm Researcher, Advanced

Key Skills

C Programming, C++, Computer Vision (CV), Linux Operating system, MATLAB Programming, OpenCV, Python Programming

Job Description

Overview:

At Zebra, we extend the edge of possibility by shaping the future of work on the front line reinventing how businesses run and moving society forward.

We are a community of changemakers, innovators and doers who come together to deliver a performance edge to the front line of business. We develop new technologies and create new solutions with partners to help organizations act with greater visibility, connectivity, and intelligence delivering better experiences for workers and those they serve.

Being a part of Zebra means being seen, heard, valued, and respected as you define your path to a fulfilling career. Here, you'll have opportunities to learn and lead at a leading company, and you can channel your skills towards causes that you and the Zebra community care about, locally, and globally.

Together, we've only begun to define the edge of what's possible for our people, our customers, and the world.

The advanced computer vision algorithm researcher 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 researcher will lead development of perception & learning systems using 2D and 3D visioning systems that are Enterprise-grade and ready for real world deployment.

Responsibilities:

• Lead the development of computer vision and machine learning algorithms and applications
• Estimate scope, duration, effort and risk on project proposals
• Lead more junior members of the team in research activities
• Develop proof-of-concept implementations, prototypes and demos to fine-tune technologies to practical, state-of-the-art systems
• Perform experiments and evaluations to quantify and validate improvements made to existing systems
• Use status as a knowledge leader to provide technical leadership to a given program
• Initiate cross-company collaboration and develop positive relationships with other engineering disciplines
• Network with key contacts outside own area of expertise. Interact with management and senior customer personnel on matters requiring coordination across organizational lines. Represent the organization as the principal customer contact and often perform project leadership
• 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 software architecture
• Research fundamental problems and implement algorithmic solutions that are appropriate

Qualifications:

• Masters/PhD in computer vision or machine learning; alternatively a comparable industry career, with significant experience in delivering products.
• 8+ years work experience
• Experience in leading the development of computer vision and machine learning algorithms and applications
• Experience in estimating the scope, duration, effort and risk on project proposals
• Experience leading and mentoring more junior members of the team in research activities
• Solid foundation in computer vision; key areas of interest include 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

Benefits:

• Volunteer days paid off.
• Training and personal development in soft skills and hard skills, access to our internal learning portal and internal career opportunities within Zebra departments.
• Annual bonuses based on financial results.
• Yearly salary increases according to individual performance.
• Employee referral bonus for bringing New Talent to Zebra.

Other benefits depending on country of application

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