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Research Fellowship Intern 2018 - Digital Core

  • GE Corporate
  • Co-op/Intern
  • Posted 1/11/2018 2:52:46 PM
  • 3045899
  • Job Function: Human Resources
  • Business Segment: Corporate Global Research
Location(s): United States; New York; Niskayuna

About Us:

At GE Global Research, we’re redefining what’s possible. From cutting-edge research in molecular pathology for use in personalized cancer diagnostics to programs in coal gasification and renewable power that drive clean energy solutions, our work at Global Research is world-renowned. As part of our team, you’ll find yourself among nearly 3,000 scientists and engineers from every discipline in a dynamic atmosphere where you’ll be constantly challenged to learn and grow. You’ll have access to leaders on all levels of the organization and collaborate across the globe with the very best in the field. If you have an insatiable intellectual curiosity and the ability to articulate your vision, then join us and watch the work you do create the next generation of products and processes that will impact the globe for generations to come.

At GE Global Research we redefine what's possible, finding answers to some of the world's toughest problems. Find out more at or, and connect with our technologists at and

GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Essential Responsibilities:
GE Global Research is looking for summer interns specializing in the areas of Machine Learning, Data Mining, Computer Vision, Robotics, Cybersecurity and Industrial Internet of Things. The interns will conduct research on large-scale machine learning and data mining techniques, robot localization, planning and control, image & video analysis, cybersecurity and Industrial IoT as applied to industrial challenges across aviation, additive manufacturing, energy, healthcare, and transportation domain.

At GE Global Research, scientists, engineers, and technicians work to provide GE's businesses and strategic partners with technical innovations for their future generation products, processes and services. This internship opportunity will help the students to gain valuable hands-on experience and get a critical jump start on a career in industrial research. Assignments are generally for 10-12 weeks over the summer.

The interns will be working side by side with experts in the field, completing challenging technical projects, applying their theoretical knowledge to real-life technical problems, and developing skills in a cutting edge global environment. The program also includes seminars on cross-center technology and soft skills development. Opportunities for networking and showcasing project accomplishments are offered.


  • Must be currently enrolled in a graduate program in Computer Science, Machine Learning, Robotics, Statistics or a related field in an accredited college or university
  • Must be willing to work out of an office located in San Ramon, CA or Niskayuna, NY. [for Computer Vision, Digital Patterns & Systems and Robotics - Niskayuna vastly preferred]
  • Must be 18 years or older
  • Must submit your application for employment on the careers page at to be considered

    Desired Characteristics:
  • Must have established strong academic performance (e.g. publications) with research orientation
  • Good interpersonal skills, initiative, high self-confidence and have goals for a career in industrial research
  • Good presentation, speaking, organizational, and problem solving skills, thorough attention to detail
  • Ability to adapt to change and willingness to be flexible in a global team environment

    For the area of Machine Learning / AI

  • Demonstrated experience and strong skills in at least one of the following areas – supervised learning (e.g. classification, regression/prediction), unsupervised learning (e.g. anomaly detection, clustering), deep learning, feature engineering, etc.)
  • Experience on time series analysis (e.g. change point detection/Regime shift), continuous learning and streaming/incremental learning would be a strong plus
  • Define data needs, evaluate data quality, perform and critique appropriate statistical analyses using software such as Python, MATLAB, R, etc.

    For the Computer Vision Group:

  • Good understanding of classical computer vision techniques for image and video (e.g 2D/3D geometry, segmentation techniques, SLAM, SfM, etc.)
  • Solid understanding of Deep Learning in Image analysis, particularly using Convolutional Neural Networks
  • Hands-on coding proficiency in neural nets, propagation gradients, hyperparameter tuning, regularization and other DL techniques

    For Digital Patterns and Systems Group:

  • Hands-on coding proficiency in ruggedized “edge to cloud” applications (i.e. Industrial Internet of Things) including connecting embedded devices, to control systems, to industrial servers/cloud while ensuring secure operations
  • Solid understanding of code-development practices for (re)usability, maintainability, scalability and cybersecurity, including object-oriented programming, source-code control and CI/CD
  • Strong expertise in Linux, Git, Javascript and Docker plus familiarity with one or more of C++/.Net, Bash, R, Perl, Java, C++ , Play, Angular JS, OSGI, HTML5, C, C# programming languages

    For the Robotics Group:

  • Hands on robotics research experience in one or more of the following: SLAM, sensor fusion, motion planning, real-time vision, machine learning and control.
  • Strong expertise in programming with ROS, OpenCV, Gazebo, C++ and/or Python.
  • Experience on working with aerial or ground-based mobile robots.
  • Experience with model-based design, reactive synthesis, verification and validation tools & techniques applied to high assurance robotics and autonomy.

    Locations: United States; New York; Niskayuna

    GE offers a great work environment, professional development, challenging careers, and competitive compensation.  GE is an Equal Opportunity Employer.  Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

    GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.

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