Job Information
General Electric Research Scientist - Computer Vision in Niskayuna, New York
Job Description Summary
As a 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.
GE, the 130-year-old energy pioneer. Our unwavering commitment to powering the planet, now fully focused on the energy transition. No other company has the unique combination to pioneer what’s next –just as we have before. Our GE energy businesses—including Renewables, Power, Digital and Energy Financial Services —are answering the call with renewed purpose and vigor as they make plans to come together under one banner to deliver a united, focused, one-of-a-kind force: GE Vernova.
Job Description
Essential Responsibilities:
Develop software algorithms and tools for analysis and interpretation of 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
Qualifications/Requirements:
PhD in Computer Science, Electrical Engineering, or related fields, plus 2 years’ experience with a focus on Computer Vision/Image Analysis using Deep Learning.
Experience working with different imaging modalities
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 TensorFlow/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 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.
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 image analysis algorithm.
Multiple publications in peer-reviewed journals and conferences in computer vision, image processing, 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://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.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