Title: R&D Scientist/Engineer: Signal Processing / Machine Learning
Location: Charlottesville, VA; Seattle, WA; Washington, DC
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.
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.
ARiA: Real Research. Real World.TM
For more information, visit www.ariacoustics.com.
ARiA is an Equal Opportunity Employer.
ARiA has multiple positions available for an entry-level (0-2 years of experience) to senior-level (10+ years of experience ) research & development (R&D) scientist\engineer with special expertise in sonar-signal processing and/or machine learning to perform a variety of tasks including basic and applied research and development, working in close coordination with ARiA scientists and engineers
Formulation and prototype implementation of original concepts and algorithms in sonar-signal processing and/or machine learning/artificial intelligence (AI)
Testing and evaluation of new algorithms based on theoretical analysis and experimental evaluation
Coordination with ARiA scientists and engineers in the development of algorithms and software products
Presentation of findings and results at scientific meetings and program reviews
Supporting the transition of research algorithms to real-time prototypes
Preparing documentation to summarize design and status of software prototypes and products
Assisting with in-field integration, testing, and support, with some local travel required
Development of classification methods and algorithms for sonar-signal processing
Development of deep reinforcement learning to optimize data augmentation for training of a deep convolutional neural network for few- and no-shot learning.
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 a information-retrieval tool that allows natural-language query of legal documents to answer user questions about government regulations
Bachelor’s degree (or greater) in a relevant technical field (Acoustics, Electrical Engineering, Computer Science, or equivalent).
Appropriate experience working in the field of signal processing in radar or sonar (waveform design, detection and classification, beamforming, etc.) and/or machine learning for acoustic or image data or AI (supervised and unsupervised learning, deep learning, kernel machines, latent semantic analysis, etc.).
Facility designing and developing code in modern programming/scripting languages such as C, C++, Java, Matlab, and/or Python
Completion of at least one sizable research, software, or systems engineering project, such as creating a machine-learning application or contributing to an open-source project
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 will 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:
Master’s degree or greater (Ph.D. is desirable) in a relevant technical field (Acoustics, Electrical Engineering, Computer Science, or similar) or equivalent professional experience
Experience with GPGPU programing (CUDA, TensorFlow)
Knowledge of and experience with deep learning and modern deep-learning frameworks (TensorFlow, PyTorch)
Knowledge of and experience with image processing including modern deep-learning methods
Knowledge of and experience with natural-language-processing and/or information retrieval
To apply submit resume/CV and cover letter to firstname.lastname@example.org.