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Entry-level Summer Intern (0-2+ years of experience) to support a range of projects such as development and implementation of machine-learning algorithms and software, and design, development, and testing of machine-classification and cognitive systems, working in close coordination with ARiA scientists and engineers.
Job Responsibility:
Supporting algorithm and software design, development, research, and testing to support prototypes and products
Development of classification methods and algorithms for sonar-signal processing
Using deep learning to understand the relevant physical features in acoustic scattering data for use in a project on remediating underwater sites contaminated by unexploded ordnance
Developing an information-retrieval tool that allows natural-language query of legal documents to answer user questions about government regulations
Requirements:
Pursuing an undergraduate or graduate degree in Computer Science, Engineering, Physics or equivalent
Exceptional ability and desire to acquire new knowledge and skills to solve challenges
Ability to work independently but collaboratively
Ability to manage multiple projects in a fast-paced professional office environment
Ability to communicate technical solutions to project management and the development team
Superior oral and written communications skills
Applicants selected for employment may be subject to a government security investigation and must meet eligibility requirements, including U.S. citizenship, for access to sensitive information.
Nice to have:
Exposure to or interest in acoustics and the underwater environment
Exposure to or interest in signal processing and machine learning
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