**Job Description Summary**

As a Lead 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.

Job Description

Roles and Responsibilities:

In this role, you will:

•    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 an Advanced 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.

Ideal Candidate 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 Inference, Reinforcement Learning, Vision Language Models
•    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
•    Industrial experience inventing and developing new AI / CV technologies 
•    Willing to relocate to work out of an office located in Niskayuna, NY

Strong Candidate Identified; Qualified Candidates are Encouraged to Apply

The base pay range for this position is $80,000 - $150,000 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/ commission based on the plan. This posting is expected to close on September 10, 2026.

GE Aerospace offers comprehensive benefits and programs to support your health and, along with programs like HealthAhead, your physical, emotional, financial and social wellbeing. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach from GE Aerospace; and the Employee Assistance Program, which provides 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Aerospace Retirement Savings Plan, a 401(k) savings plan 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. ​

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