Machine Learning Internship

About the job

What You Need For Success

  • Enthusiasm to dig into a problem, and give your best solution
  • Inquisitive desire to understand – ‘what would happen if I were to try this?’
  • Enrollment in an accredited computer science electrical, materials science, chemical, mechanical engineering or physics and chemistry college program
  • Interest in Materials Science and Machine Learning, having taken Materials Science and Machine Learning fundamentals classes or advanced courses
  • Maintain a 3.0 GPA or above
  • Good communication and teamwork skills
  • Relevant Experience
  • Ability to work without sponsorship now or in the future
    What can you do for Cree?

    • Create data-visualization software for data analysis, annotation and dataset generation
    • Generate data sets for Deep Learning model development
    • Train and develop proprietary Deep Neural Networks
    • Develop project plans, technical approaches, timelines and deliverables for assigned projects
    • Work on several projects, simultaneously and deliver results in ownership

What you need for success

  • Pursuing a Bachelor’s or Master’s degree in Computer Science, Materials, Chemical, Ceramics, Electrical Engineering, or Physical Science.
  • Statistical data analysis skills and experience
  • Experience in traditional computer vision approaches
  • Independent thinking, attention to detail, strong organizational and planning abilities
  • Excellent analytical and problem solving skills
  • Strong leadership skills, high energy, self motivated with “whatever it takes” attitude
  • Ability to work constructively with a team of manufacturing personnel, engineers and technicians

Nice to Have Skills

  • Knowledge in SiC and related materials
  • Knowledge in dataset creation
  • Computational and data analysis skills or experience on tools such as Python, Tensorflow, SQL, PyTorch, MXNet, Matlab, Mathematica, JMP, R, .net, FE multi physics simulation, COMSOL, ANSYS, FIDAP, Autodesk Inventor, ProE, AutoCAD

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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