General Electric Research Scientist - Computer Vision in Niskayuna, New York
Job Description Summary
As an Image Research Scientist - Computer Vision, 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 :
Develop software algorithms and tools for analysis and interpretation of medical image and industrial data.
Develop and implement prototypes and solutions and demonstrate applications to real world problems by quick prototyping and validation.
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.
Create intellectual property by writing invention disclosures and filing patents. Team with image hardware, control system researchers to jointly develop solutions
M.S Degree in Computer Science, Electrical Engineering, Biomedical Engineering, or related fields with a focus on Computer Vision/Medical Image
Analysis using DeepLearning Demonstratedability 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 asTensorFlow/Keras
Candidate must be willing to travel a minimum of 2 weeks per year.
Legal authorization to work in the U.S. is required.
GE may agree to sponsor an individual for an employment visa now or in the future if there is a shortage of individuals with particular skills.
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.
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 :
Ph.D in a field related to Computer Vision and Deep Learning is preferred.
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.
Multiple publications 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
GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer (https://assets.phenompeople.com/CareerConnectResources/GE11GLOBAL/en_global/desktop/assets/images/poster_screen_reader_optimized_w_supplement.pdf) . 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 conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: Yes
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