Research Engineer
3 weeks ago
Job Description Summary
We are looking to grow our Software Controls and Optimization team at GE Aerospace Research & are looking for top notch researchers to be part of this exciting journey. As a group, we innovate and execute on the R&D strategy for GE Aerospace on a range of problems from designing inspections solutions for aircraft engines to building predictive/prescriptive analytics for a variety of applications that improve process efficiencies in the business.
Job Description
As a Research Engineer – AI-Machine Learning, you will:
Work independently as well as with a diverse team to develop and apply advanced technology solutions to GE Aerospace products and services using modeling, optimization, estimation, or detection technologies, leveraging AI/ML to augment a physics- based understanding of systems.
Validate performance of developed solution through simulations and application on target product to mature technology to be transferred to the business.
Document technology and results through patent applications, technical reports, and publications.
Stay current with advances in system technologies to seek out new ideas and applications.
Work in a team environment with colleagues across GE Aerospace Research, and business units.
Qualifications/Requirements
Doctorate degree in an Engineering field or a Master’s degree in an Engineering field with a minimum of 4 years of background and experience in design of AI/ML algorithms.
Strong background in machine learning, deep learning, data analytics.
Proficiency in Python, C, C++, or Matlab.
Self-motivated and ability to work independently and as part of a team.
Desired Characteristics
Demonstrated experience (algorithm development and software implementation) in developing systems solutions for complex physical systems.
Strong analytical skills, familiarity with robust modeling/analysis techniques.
Expertise in generative AI/Deep Learning techniques as applied to industrial data.
Experience in training, fine-tuning, and deploying large language (and/or vision) models a plus.
Knowledge and background in application of state-of-the-art NLP / Computer Vision algorithms to industrial data.
Background in Knowledge Representation and Knowledge Graph technologies is a plus.
Ability to communicate effectively with senior leadership.
Demonstrated ability to take an innovative idea from a concept to a product.
Additional Information
Relocation Assistance Provided: Yes
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