Internship – AI and Machine Learning

CoherentSaxonburg, PA
15hOnsite

About The Position

Internship Description – 2 (Machine Learning) IR Saxonburg team seeks an intern with experience in software design, coding and debugging who is looking to make an impact in the industry-leading area of automated inspection and machine learning. The intern will gain real-world software engineering experience at a thriving company as well as experience and training in project management and execution skills that will set this person apart in future career opportunities. We frequently work in small teams to solve problems and explore new technologies, and we are constantly learning from one another and striving to grow as a group. The ideal intern for this environment will be enthusiastic and collaborative.

Requirements

  • Computer Science/Network Engineering, Engineering, Statistics, Data Analytics, or Mathematics major
  • Ability to work creatively in multi-disciplinary teams and strive for innovative solutions
  • Experience programming in some combination of C#, .NET, Python, JavaScript, and/or LabView a must
  • SQL or database experience a plus
  • Strong analytical, organizational skills, particularly in neural networks or deep learning, a major plus
  • Citizen or permanent resident

Nice To Haves

  • SQL or database experience
  • Strong analytical, organizational skills, particularly in neural networks or deep learning

Responsibilities

  • Assess new application ideas in automated visual inspection and machine learning
  • Research in-house analysis approaches and competitor offerings and propose solutions with recommendations on path forward
  • Develop, trial, and implement algorithms in automated visual inspection and machine learning
  • Present findings, with initial recommendation on path forward to production

Benefits

  • Practical experience in emerging technical fields
  • Collaborating with skilled teams of software engineers
  • Shadowing, mentoring, and training opportunities with seasoned professionals
  • Experience and training in small-project management and executionn
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