Research Scientist - AI & Computer Vision - Aerospace Research - GE Aerospace : Job Details

At GE Aerospace Research, our researchers work on the advancement of new Artificial Intelligence and Computer Vision technology to solve industrial problems for the Future of Flight. This work covers both fundamental and applied exploration, ultimately looking to provide a real path forward for sustainable air travel for the world, to advance the frontiers of beyond-atmosphere travel, and to continue to support the country's needs in national security.

As a Research Scientist, you will design, experiment, analyze, improve, and apply new AI / CV technology. 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 contributing to new projects with GE Aerospace business units and working with 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.

Essential Responsibilities:

• Work with 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 + 4 years experience or PhD 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
• U.S. citizenship is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.
• Willing to relocate to work out of an office located in Niskayuna, NY

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 fields
• Contribution to public domain codebases and/or significant GitHub portfolio to demonstrate mastery and impact

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. This posting is expected to close on Ma5 16, 2024.

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.