Physics/Engineering Intern

TitlePhysics/Engineering Intern

Location: Washington, DC; Charlottesville, VA; Lexington, KY; Seattle, WA

ARiA applies broad interdisciplinary expertise in acoustics, modeling & simulation, signal processing, and cognitive science toward innovative science and engineering research and development for a diverse set of government and corporate clients that focuses on modeling & simulation for training and model-based signal-processing and artificial intelligence for detection and classification. Partnering with government, industry, and academia, ARiA solves critical challenges.

To enable effective and efficient transition of applied research to advanced development of products and systems, ARiA is structured to bring together top-quality research scientists with development and software engineers in an environment in which research and development mutually benefit from joint leveraging of in-house expertise.

ARiA is a small business where you can make a big difference. Our employees, including those at entry-level, are working together with the CIO of the Air Force to use artificial intelligence and machine learning to change the way the government acquires technology and working with top Navy leaders to use video games and simulation to change the way sailors are trained to use sonar.

For more information, visit

ARiA: Real Research. Real World.TM

ARiA is an Equal Opportunity Employer.

Position Description:

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.

Responsible for:

Supporting algorithm and software design, development, research, and testing to support prototypes and products

Sample tasks:

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


Pursuing an undergraduate or graduate degree in Physics, Engineering, Computer Science 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.

Desirable Skills, Qualifications, and Experience:

Exposure to or interest in acoustics and the underwater environment

Exposure to or interest in signal processing and machine learning

Interested applicants should submit a resume and cover letter to