Computer Vision Algorithm Researcher, I in Rome, Italy

Remote Work: Yes

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.

About CTO’s Solution Incubation @ Zebra

We are an intrapreneurial team creating innovative solutions and Ai technologies for the transportation & logistics, warehouse, retail, and healthcare markets. These “first of a kind” solutions are helping retail managers improve their store operations & better serve their customers and are helping logistic managers enhance the efficiency of their operations.

We focus on advanced development and application of emerging edge sensing, artificial intelligence, and workflow optimization technologies in innovative end-to-end system prototypes to solve real- world problems and advance these systems and Ai technologies into Zebra businesses.

We have an exciting internship opportunity for a Computer Vision Algorithm Researcher to join us for 6 months . Working to advance exploratory research and development projects in computer vision and machine learning to create highly innovative customer solutions.

You will get the chance to use 2D & 3D visioning systems and develop perception & learning systems ready for real-world deployment!

Responsibilities:

We are focusing on leveraging AI to help solve real-world problems on real-world data. This means embracing noise and complexity, both at the data level and at the methodological level.

Your work will span from real-world data handling to the most advanced methods such as transfer learning, generative models, reinforcement learning, etc., with a focus on understanding quickly and experimenting even faster. You will collaborate closely both with software developers and research scientists, wielding the tools of both.

You will have experience in machine learning, either through your studies or industrial R&D projects and 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.

Qualifications:

You want to join us because you are passionate about:

• Research and applications of machine

• Collecting, quality checking, and analysing huge

• Using and discovering the best tools to build practical AI

• Staying up-to-date on the scientific literature in your field

• Generating patent disclosures covering the algorithms created and the systems enabled

  We want you to join us because you have:

• A getting-it-done attitude with a desire to both push the boundary of fundamental knowledge and turn it into great

• Experience of scientific programming and libraries relevant to your field, for example: PyTorch, TensorFlow, Caffe, OpenCV,

• Experience with at least one of the following programming languages, for example Python, C++ etc.

  Why Zebra?

  Zebra’s culture is encouraging and collaborative where employees are encouraged to learn and grow together. This is a phenomenal time to join us – we are excited to hear from you!

  Equal Opportunities:

  We are committed to offering equal opportunities, and we encourage applications from all sections of the community.