GE Job - 31133877 | CareerArc
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Company: GE
Location: NY
Career Level: Mid-Senior Level
Industries: Manufacturing, Engineering, Aerospace

Description

Role Summary: As a Senior Computer Vision Scientist, you will develop computer vision and image understanding
algorithms that enable automated interpretation and information extraction from medical and
industrial images. You will conduct research on real-world commercial applications and translate
innovative ideas and algorithms to prototype software and solutions.
Essential Responsibilities:

  • Lead research in multiple areas of computer vision and image analytics & develop
    software algorithms and tools for analysis and interpretation of medical image and industrial
    data.
  • Work across domains to partner with other researchers to lead and drive
    Artificial Intelligence and Image Analytics in relevant areas.
  • Support and influence
    the senior leadership team to choose areas and direction of research, execution strategies and
    partner relationships.
  • Leverage your computer vision expertise to invent and
    implement algorithms for detection and characterization, recognition, structural and semantic
    understanding, and inference from images and image ensembles.
  • Leverage
    imaging physics to enhance algorithmic performance.
  • Employ software libraries,
    tools, practices to implement efficient, scalable, and reusable solutions.
  • Drive
    intellectual property accumulation in the team.
  • Communicate with customers
    (business stakeholders, government officials, external companies, radiologists/clinicians etc.) to
    understand their needs and co-develop novel solutions.

Qualifications/Requirements:
  • Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, or related
    fields with a focus on Computer Vision/Medical Image Analysis.
  • Minimum of
    4 years of industrial experience
  • Hands-on experience in Computer Vision or
    3D Medical Image Analysis in relevant fields such as Robotics or Autonomous
    systems.
  • Demonstrated ability to write Python and C++ code for quick
    demonstration of ideas as well as robust, efficient, scaled-up software
    systems.
  • Hands-on ability to create Deep Neural Network models on machine
    learning platforms such as Tensor Flow/Keras
  • Candidate must be willing to travel a
    minimum of 2 weeks per year.
  • Legal authorization to work in the U.S. is required; we will not sponsor individuals at the Masters level for employment visas, now or in the future, for this job opening.
  • Must be willing to work out of an office located in Niskayuna,
    NY.
  • Must be 18 years or older.
  • You must submit your application for
    employment on the careers page at www.gecareers.com to be considered.


ELIGIBILITY REQUIREMENT(S):
  • Because of the specific categories of data handled by GE Research and the structure of our work environment, we are unable to accommodate employment of persons while they are considered nationals of embargoed countries subject to restriction under the US Export Administration Regulations (EAR), 15 CFR Section 746 et seq. (currently North Korea, Syria, Iran, Cuba, and Sudan).
  • Please note that citizens of embargoed countries who have either “U.S. person” status under U.S. export control laws or subsequent citizenship from a non-embargoed country can be considered.

  • Desired Characteristics:
    • Deep hands-on experience building computer vision systems involving algorithm
      development in fields such as image segmentation, registration, tracking, feature extraction,
      detection, and classification.
    • Post-doctoral or industrial experience inventing and
      developing computer vision or medical image analysis algorithm.
    • Solid publication
      record in peer-reviewed journals and conferences in computer vision, image processing, medical
      imaging and relevant application fields.
    • Contribution to public domain
      codebases and/or significant GitHub portfolio to demonstrate mastery and
      impact.
    • Experience in writing grant proposals, executing and researching based on
      grants, including demonstrated successful communication with government agencies

    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 worldrenowned. As part of our team, you'll find yourself among 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 target="_blank">http://www.ge.com/research or target="_blank">http://twitter.com/geresearchjobs, and connect with our technologists at href="http://www.edisonsdesk.com" target="_blank">http://www.edisonsdesk.com and href="http://twitter.com/GEresearch" target="_blank">http://twitter.com/GEresearch


    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, gender (including pregnancy), sexual orientation, gender identity or expression, age,
    disability, veteran status or any other characteristics protected by law.
    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, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.
    Additional Eligibility Qualifications: GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Additional Locations: United States;New York;Niskayuna;


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