Software Engineering - Computer Vision Intern

Matrix Design GroupNewburgh, IN

Qualifications

  • Education: Pursuing BSCS, BSEE, or BSCE
  • Experience developing software using one or more of the following languages/frameworks: Python, PyTorch, Tensorflow, DVC, LabelStudio, OpenCV, Pandas, Numpy, or Linux
  • Experience with object detection and classification algorithms for computer vision applications
  • Understanding of source control concepts
  • Safety glasses and ESD dissipative gear may be required
  • The employee is occasionally required to stand; walk and stoop, or crouch
  • The employee may need to lift and/or move up to 10 pounds
  • Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus
  • Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job

Responsibilities

  • The selected candidate will assist engineers in the planning and development of embedded software solutions using data science, computer vision, machine learning, or neural networks and assist in the implementation of the completed designs
  • Collect, annotate, analyze, and interpret datasets for use in computer vision applications
  • Evaluate, build reports, and provide recommendations on new models, algorithms, and datasets
  • Update and improve data training pipeline from annotation to testing an evaluation
  • Assist in the development and implementation of embedded software solutions
  • Assist engineers with documenting application requirements and specifications
  • Documentation of test results
  • Most of the work will take place in a typical office setting (cubicle, desk, chair, computer, etc.) or in a lab/testing/development area (lab benches, test equipment, etc.)
  • Occasional travel to vendor or partner facilities may be required (such as a contract manufacturing or engineering facility) but are rarely different from normal office or lab conditions

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