Perform experiments and evaluations to quantify and validate improvements made to existing systems.
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.
Research fundamental problems and implement algorithmic solutions that are appropriate.
Provide recommendations and solutions to problems using experience in multiple technical areas.
Receive little instruction on day-to-day work and general instructions on new assignments.
May influence the activities of junior level personnel.
Job Requirements
Education: Masters/PhD in computer vision or machine learning; alternatively a comparable industry career, with significant experience in delivering products using state-of-the-art computer vision and/or machine learning systems
Work experience: 5+ years
Solid foundation in computer vision, deep learning and LLM/VLM; key areas of interest include object detection, tracking and recognition, anomaly detection, robot guidance and optical character recognition.
Scripting and prototyping languages: Python, C/C++.
Generic packages: PyTorch, TF Lite, OpenCV.
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.
Takes ownership of their work, is self-motivated & practical in their problem-solving and thrives in a fast-paced, highly-collaborative applied research environment.
Incentive Compensation
In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 12% of base pay, in accordance with the terms of the applicable incentive plan.
Job Posting Statement
To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.
AI Technology Statement
Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy.
