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Intern - Software Engineer, Machine Learning and Development

Overview
This position will be supporting the product test execution team for the Enterprise Visibility and Mobility division of Zebra Technologies based in Holtsville, NY. We test Windows and Android devices concentrating but not limited to WWAN, WLAN, BT, NFC, Indoor Locationing, GPS technologies and various Android based applications. Intern would be responsible for improving the overall automation efficiency through the use of machine learning.
Responsibilities
The candidate will be responsible for design and development improvements to the overall automation framework. Candidate should have experience with various machine learning algorithms. Candidate should also be familiar with Android operating system.
Specific responsibilities include:
+ Review and evaluate potential efficiency improvements to the automation framework through the use of machine learning.
+ Evaluate various machine learning algorithms and measure overall performance improvements.
+ Collaborate with automation team and discuss proposed efficiency improvements
+ Implement effiency improvements to the automation framework
Qualifications
+ Minimum Education: Must be going for a bachelors degree and have 2 years college experience in an appropriate engineering discipline
+ Python scripting experience is required
+ Node.js is required
+ Machine Learning experience(TensorFlow, PyTorch, etc) is required
+ Soft skills include well spoken, self motivated, fearless
+ Must be authorized to work in the U.S. on a permanent basis without requiring sponsorship.
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Zebra is an equal opportunity/affirmative action employer committed to a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, ancestry, marital status, age, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at 847.793.6772.
The EEO is the Law poster is available. The EEO is the Law poster supplement is available.
Job ID _53765_
Function _Engineering_

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