Research Scientist - Computer Vision

Job description

3120398
Additional Cities

Niskayuna
Career Level

Entry-Level
Relocation Assistance

Yes
Business

GE Corporate
Business Segment

Corporate Global Research
Function

Engineering/Technology
Country/Territory

United States
Additional States/Provinces

New York
Postal Code

12309-1027
Role Summary/Purpose

As an Image Analytics 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

·  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
Qualifications/Requirements

·  M.S Degree in Computer Science, Electrical Engineering, Biomedical Engineering, or related fields with a focus on Computer Vision/Medical Image Analysis using Deep Learning 
·  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. 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.

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

·  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
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 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 athttp://www.ge.com/research orhttp://twitter.com/geresearchjobs , and connect with our technologists athttp://www.edisonsdesk.com andhttp://twitter.com/GEresearch

GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is anEqual 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.
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).