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R&D Intern (All Locations)

ARiA
Madison, VA

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Job Details

Internship

Qualifications

AI models
Software engineering
Computer Science
Engineering development testing
Signal processing
Software implementation
Classification (ML)
Classification analysis
Technical solutions implementation
Machine intelligence
Implementation (software development lifecycle)
Engineering research
Physics
Text mining
Technical research projects
Text classification
Software testing
AI implementation
Algorithm design research
Research & development
Artificial intelligence research
Prototypes
Design (software development lifecycle)
Entry level
Under 1 year

Full Job Description

R&D Intern

Title: R&D Intern

Location: Central Virginia (Madison, VA); Washington, DC metro area (Alexandria, VA); Seattle, WA

ARiA applies broad interdisciplinary expertise in acoustics, machine learning, modeling & simulation, and signal processing toward innovative science and engineering research and development for a diverse set of government and corporate clients. Partnering with government, industry, and academia, ARiA solves critical challenges.

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.

ARiA: Real Research. Real World.TM

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

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.

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 [email protected]

Apply Now

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R&D Intern (All Locations)

AI & Data Analytics Co-op/Intern

2027 Intern – Test & Evaluation Engineer

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