Vacancy caducado!
Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. With revenues of $125M+, and a staff of more than 630, Riverside Research provides high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems. Riverside Research also supports advanced technical education and collaborates widely with university researchers. The company was formed from a respected research laboratory at Columbia University and has a current focus on technical areas including Radar systems, Optics and Photonics, Electromagnetics, Plasma physics, Geoint, Masint, Systems Engineering, and Modeling & Simulation. Riverside Research's open innovation R&D model encourages both internal and external collaboration to accelerate innovation, advance science, and expand market opportunities. In 2015, Riverside Research expanded its facility in Dayton, OH, adding a 30,000 square-foot Open Innovation Center (OIC). The OIC is a collaborative R&D environment that fosters creativity, synergy, and ultimately delivers innovative solutions to current and anticipated challenges. The OIC sets the standard for collaborative innovation and is dedicated to promoting research across the company. Riverside Research has additional research facilities in Boston, MA; New York, NY; Centreville, VA; and Champaign, IL.
Job Number: 842 Riverside Research is seeking a Senior AI/ML Engineer to support the Air Force customer on their research and development efforts. As a key member of Riverside Research, the Senior AI/ML Engineer will incorporate concepts and investigate methods for cross-cutting data sharing for modeling and simulation, advanced radio frequency (RF) simulation, and other mission system applications. The chosen candidate will serve as a senior technical member of a team consisting of software engineers, data architects, and researchers to develop solutions for data sharing, data quality and curation, discovery and understanding of relevant data using proper metadata, automation of key steps, and enterprise digital engineering. All Riverside Research opportunities require U.S. Citizenship. Job Responsibilities:- Provide technical direction, task-level technical leadership, and research and development skills in artificial intelligence, machine learning and natural language processing
- Develop software to support a variety of machine learning and natural language processing projects in multiple domains
- Assist in developing project roadmaps based on internal and external customer needs, science and technology trends, and overall corporate strategic plans
- Foster and participate in a collaborative environment for multidisciplinary research and development
- Understand, apply and contribute to state of the art AI/ML techniques, especially those focused on natural language processing, publishing and presenting research results
- Other duties as assigned
- Ability to obtain and maintain a TS/SCI security clearance
- Master's degree in an AI/ML related field (Computer Science, Electrical and/or Computer Engineering, Physics, Cognitive Science, Neuroscience) and at least 3 years of relevant experience required
- Experience working US Government or DoD research and development projects
- Experience working with diverse teams and programs
- Ability to conduct research in state-of-the-art artificial intelligence / machine learning projects. Examples include:
- Image and signal classification using Convolutional Neural Networks (CNN) and other deep learning networks
- Adversarial AI - methods to attack/protect AI/ML algorithms
- Neuromorphic computing - Spiking Neural Networks (SNN), Intel Loihi and FPGA instantiations
- Human-computer interaction, natural language processing, and virtual/augmented reality to assist complex tasking
- Demonstrated ability to work in coding environments and deliver prototypes revolving around the use of signal-centric computing technologies
- Ability to code in a variety of integrated development environments and to learn new programming skills as required
- Ability to write and present research and development results to a variety of stakeholders
- Active TS/SCI clearance
- PhD degree in an AI/ML related field (Computer Science, Electrical and/or Computer Engineering, Physics, Cognitive Science, Neuroscience)
- Experience with flexible and fast run-time languages