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Machine Learning Engineering Internships

Job Description
This internship will help you establish hands-on embedded software development experience in a fast growing AI/ML area especially in the deep learning vision based edge devices. You'll work with experienced engineers to accomplish the following:
Job Summary:

  • Optimize deep learning applications such as facial recognition and object detection
  • Profile and analyze neural network layer performance on Edge devices
  • Evaluate and compare inference engines features and performance on Edge devices
  • Study, compare and report various deep learning inference engines
  • Implement machine learning algorithms in a resource constrained device
  • Benchmark machine learning models on MCU/MPU devices
  • Implement/integrate Machine Learning software modules
  • Specification and documentation according to NXP guidelines

Job Qualifications:

  • Enrolled in Bachelor or Master Degree program in Computer Engineering/Science
  • Experience with Python and/or C programming languages
  • Exposure to embedded SW development
  • Exposure to Machine learning frameworks (eg. TensorFlow, PyTorch, etc)
  • Excellent communication and interpersonal skills
  • Excellent team member
  • Self driven
  • Payrate is hourly and depends on year in school, higher rates for Masters level students