As a Senior Scientist with a Machine Learning focus, you will design, experiment, analyze, improve, and apply new AI / CV technology, while helping to shape the strategic plan for further research investments in the domain. Along the way, you will investigate concepts from their fundamentals (theoretical and empirical) to their prototype and creation as new solutions that change the world. You will develop algorithms and systems that will be used from design to manufacturing, testing to operation, reliability to replacement. This will involve leading new and continuing projects with GE Aerospace business units and a wide array of fellow researchers across disciplines and domains. It will also include the opportunity to work on government-sponsored, cutting-edge research programs with GE Aerospace’s external partners in academia and government. You will help drive the future of AI / CV research at GE and advance human scientific understanding among the broader global community.Job Description
Roles and Responsibilities
Work with and lead teams of researchers on new and continuing projectsDevelop software solutions for the application of Artificial Intelligence to aerospace programs, ultimately impacting the product and service offerings of GE Aerospace as well as its internal tools and practicesImplement and analyze prototypes and solutions for real-world problemsEmploy software libraries, tools, and practices to implement efficient, scalable, and reusable solutionsCollaborate with GE Aerospace’s other AI / CV experts to define and pursue strategic advancement of new technologiesMentor earlier-career researchers in technical and non-technical skillsDevelop new programs in consultation with the GE Aerospace business units and/or in support of US government agenciesPublish novel findings in scientific workshops, conferences, and journalsCreate intellectual property by writing invention disclosures and filing patentsDevelop in technical and leadership skills in preparation for future work as aPrincipal Scientist or part of Technical Management
Required Qualifications
MS + 10 years experience or PhD + 5 years experience in Computer Science, Electrical Engineering, Mathematics, Physics, or related fields with a focus on Artificial Intelligence, Machine Learning, and/or Computer VisionMinimum of 2 years of commercial or industrial experience Demonstrated ability to write Python code for quick demonstration of ideas as well as robust, efficient, scaled-up software systemsCandidate must be willing to travel a minimum of 2 weeks per year U.S. citizenship is required.Willing to relocate to work out of an office located in Niskayuna, NYDesired Characteristics
Deep expertise in one or more of: Geometry in Computer Vision, CAD Registration, CT Imaging, Machine Learning + Physics, Explainable Machine Learning, Graph Neural Networks, Causal InferenceExperience in writing grant proposals and participating in the execution of grant-supported research; includes demonstrated successful communication with government agencies such as DARPA, ARL, AFRL, and ONRAbility to obtain Secret (or higher) US Government clearancePost-doctoral or industrial experience inventing and developing new AI / CV technologies Extensive publications in peer-reviewed journals and conferences in Computer Vision, Artificial Intelligence, and/or relevant application fieldsContribution to public domain codebases and/or significant GitHub portfolio to demonstrate mastery and impactAdditional Eligibility Requirements:
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).The base pay range for this position is 100,00 - 205,000 USD Annually. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary. This posting is expected to close on March 17, 202
Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness.
General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a “Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor’s welfare benefit plan or program. This document does not create a contract of employment with any individual.
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This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.
Additional InformationGE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace 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 Aerospace 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