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Machine Learning Engineer
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- Our core portfolio of research includes projects in power & energy systems, unmanned systems (with an emphasis on maritime systems), digital engineering, and advanced manufacturing.
- Our research involves hybrid and electric propulsion systems, large energy storage devices, power converters, autonomy, digital twins, and integration with mission systems to achieve fast and reliable power system response.
- The Machine Learning Engineer will work both individually and in concert with modeling and simulation engineers, human-machine interface developers, various subject-matter experts, and program management to design and implement suitable machine learning models, and to assist in the development of efficient, robust, and reliable intelligent system applications for several customers across government and industry.
- Bachelor's degree in computer science, computer engineering, electrical engineering, mechanical engineering, aerospace engineering, or other related technical discipline.
- A graduate degree (Masters/PhD) in computer science, computer engineering, electrical engineering, mechanical engineering, aerospace engineering, or similar technical discipline with an emphasis on artificial intelligence and machine learning.
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