Vacancy expired!
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: 751Riverside Research is seeking an AI/ML Engineer to support existing contracts to prototype and develop automation solutions to NASIC's most difficult Scientific & Technical Intelligence problems. As a highly valued and sought-after Riverside Research employee, you will be part of a highly skilled and integrated team that analyzes intelligence data to discover opportunities for automated solutions. All Riverside Research opportunities require US citizenship. Job Responsibilities: AI/ML algorithm development for prototype applications in remote sensing:-
- Develop prototype AI/ML algorithms and associated software tools using Python and the Python/TensorFlow API
- Train AI/ML models and tune their hyperparameters for a given dataset and algorithm objectives
- Visualize hyperparameter optimization spaces with Tensorboard for selection of optimal parameters for a given parametric (functional) TensorFlow model
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- Provide customized solutions to data quality control that ensure accurate functional mappings for AI/ML algorithms on complex remote sensing datasets
- Develop databases / data lakes / data warehouses for organizing both structured and unstructured datasets
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- Apply machine learning and general computer vision best practices and methods to analyze and exploit large, complex remote sensing datasets from a variety of remote sensing phenomenology
- Keep up with the SoTA practices for AI/ML, perform relevant R&D, and implement new and innovative ideas in machine learning and high-performance computing to solve long-standing remote sensing "big-data" exploitation problems
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- Contribute and adhere to the AI team's standards for reviewing and unit-testing code, lead or participate in team-wide code reviews, and adhere to standardized documentation practices
- Utilize Python PEP8 standards
- Must have the ability to obtain and maintain a TS/SCI clearance at a minimum
- Bachelor's Degree in either Electrical Engineering, Mathematics, Statistics, Physics, Computer Science, or related field of study
- 8+ years of experience with artificial intelligence and/or machine learning
- Must demonstrate proficiency in Python-based end-to-end AI/ML model development lifecycle using a recent deep learning platform (TensorFlow preferred)
- Awareness of version control, branches, merge conflict resolution, and git in general
- Proficient in collaborative Office 365 tools such as MS Word, Excel, and PowerPoint
- Ability to work closely with subject-matter experts to develop tools, algorithms, and datasets needed for developing relevant and useful AI/ML prototype algorithms
- Self-driven, strong analytic, inferencing, critical thinking, and creative problem-solving skills
- Communicates highly technical results and methods clearly and succinctly
- Advanced degree (MS/PhD) in Data Science, Mathematics, Statistics, Computer Science, a Physical Science or Engineering is strongly desired
- Active Secret Security Clearance
- Experience with DoD intelligence production processes and workflows
- 10 years operational experience in radar signal processing analysis, overhead imagery analysis, orbital mechanics, and/or electronic warfare data analysis
- 3+ years experience using data visualization tools and libraries in Python
- Visualizations/Web Development Skills (e.g., Tableau, MEAN stack - MongoDB, ExpressJS, AngularJS, NodeJS)
- Experience with large (1 GB +) image data and formats such as HDF5, JSON, GEOTIFF, TFRecords, etc.
- Experience in development of distributed, web-based systems, service-oriented architectures, front-end user interfaces, and back-end databases are a plus
- Experience with interpretability of deep learning computer vision models including visualization and reasoning about model latent spaces and activation maps to assess model effectiveness / weaknesses
- Familiarity in differences of supervised learning vs. unsupervised learning techniques
Vacancy expired!