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Software Engineer, Data Science

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Technology
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00424456 Requisition #
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Nike’s new Tel-Aviv Digital Studio is composed of a multi-disciplinary start-up team focused on driving Nike’s consumer direct offense through computer vision, machine learning and augmented reality.

Until recently a start-up, now a part of Nike, the Tel-Aviv digital studio is aimed at preserving its dynamic start-up culture with a small team of elite professionals, while harnessing the immense data and resources at our disposable at Nike.

We are looking for a software engineer to take part in the design, development and automation of our machine learning, computer vision and deep learning experiments, data pipelines, tooling and infrastructures.

The engineer will work very closely with data scientists and dev-ops engineers on multi-disciplinary products that employ data, traditional machine learning and deep learning at their core and are aimed at an audience of millions of consumers.

Our ideal candidate is a versatile, organized, self-directed individual, a team-player and natural collaborator, who enjoys tinkering with cloud, automation and data technologies and is always on the lookout for an opportunity to optimize.

The role will span a long stack of (mostly) python and cloud-based technologies for machine learning, deep learning, computer vision, data storing and manipulation, model serving, task management, test-automating, visualizing and monitoring and will involve discovering, adopting and developing new tools and software components for the ML and computer vision stacks.

 

Job Duties and Responsibilities:

  • Design, develop and adopt tools and infrastructure for automated training, testing and deployment of machine learning models and computer vision algorithms over cloud infrastructures.
  • Support algorithm teams by building python software components to realize complex, data-driven machine learning, deep learning and computer vision tasks.
  • Build the infrastructure for optimal extraction, transformation, and loading of image and non-image data from a wide variety of data sources.
  • Develop scripts, tools and dashboards for manipulating, analyzing, organizing, and visualizing image, tabular and JSON based data.

  • 2-4 years of experience in software development in Python (both scripting and Object-Oriented Programming)
  • Experience with SQL or no-SQL databases
  • Familiarity with Pandas and NumPy
  • Experience in Linux
  • Experience with AWS (or other cloud platforms)
  • Experience in building and maintaining infrastructure for machine learning training and deployment and understanding of ML and data analysis processes, a strong advantage
  • Strong organizational skills and self-direction
  • Strong skills in data manipulation, cleanup, management, organization, visualization and storage. Ability to write custom tools and integrate with existing tools and frameworks (analytics dashboards / viz tools / DB frontends)
  • Programmatic image manipulation skills (OpenCV / PIL / SciKit Image) a plus
  • Experience with C++ a plus
  • Familiarity with machine/deep learning frameworks (SciKit Learn / Tensorflow / Keras / PyTorch / Caffe) a plus
  • Excellent English (verbal and written)
#LI-EMEA

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