Research Scientist - AI & Computer Vision - Aerospace Research Security Clearance

Position: Research Scientist - AI & Computer Vision - Aerospace Research with Security Clearance
Location: Niskayuna

Job Description Summary
Join GE Aerospace Research and change the world! Our teams push the boundaries of Artificial Intelligence and Computer Vision to solve the hardest problems in aerospace-today and for the generations to come. We explore new frontiers in autonomy, perception, and learning to power safer, cleaner, and more capable aerospace systems. Our work spans the spectrum: advancing sustainable aviation, charting pathways for widespread beyond-atmosphere exploration, and strengthening national security with innovative, mission-ready technologies.

As a Research Scientist - AI, you will:
• Design experiments that probe the limits of what's possible in learning systems for real problems
-and learn fast from the results
• Build, analyze, and refine AI/CV algorithms inspired by both theory and data
• Prototype novel systems that move from simulation to lab to flight-relevant environments
• Translate fundamental discoveries into scalable tools used across design, manufacturing, testing, operations, reliability, and lifecycle management You'll collaborate with a diverse cohort of scientists and engineers across disciplines and GE Aerospace business units, tackling complex AI challenges from physics discovery to understandability, uncertainty management to edge environments. You'll also contribute to government-sponsored research with world-class partners in academia and federal agencies-work that shapes the field and accelerates the Future of Flight.

Our work here emphasizes open-ended questions, rigorous experimentation, and building solutions that matter, looking out beyond what is done today. This role puts you at the edge of that discovery. Help define what AI and Computer Vision can do for aerospace-and expand the frontiers of human understanding along the way.

Job Description

Essential Responsibilities:

* Work within teams of researchers on new and continuing projects

* Develop 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 practices

* Implement and analyze prototypes and solutions for real-world problems

* Employ software libraries, tools, and practices to implement efficient, scalable, and reusable solutions

* Collaborate with GE Aerospace's other AI / CV experts to define and pursue strategic advancement of new technologies

* Publish novel findings in scientific workshops, conferences, and journals

* Create intellectual property by writing invention disclosures and filing patents

* Develop in technical and leadership skills in preparation for future work as a Lead Scientist

Qualifications/Requirements:

* MS + 2 years experience in Computer Science, Electrical Engineering, Mathematics, Physics, or related fields with a focus on Artificial Intelligence, Machine Learning, and/or Computer Vision

* Demonstrated ability to write Python code for quick demonstration of ideas as well as robust, efficient, scaled-up software systems

* 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.

* You must submit your application for employment on the careers page at  to be considered
Ideal Candidate Characteristics:
* Ph.D. focusing on new advancements in Artificial Intelligence, Machine Learning, and/or Computer Vision

* 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 Inference

* Experience 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 ONR

* Ability to obtain Secret (or higher) US Government clearance

* Post-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…