Riverside Research
Senior AI/ML Engineer
Location: US-OH-Fairborn
ID: 2025-4067
Category: Software Development
Position Type: Full Time Salary
Overview Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high‑end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.
Position Overview Riverside Research is seeking an Artificial Intelligence / Machine Learning 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.
Responsibilities AI/ML Algorithm R&D
Develop innovative machine learning and computer vision solutions to analyze and exploit large, complex datasets from remote sensing phenomenology
Develop algorithms and associated software tools using Python and associated machine learning libraries (PyTorch, TensorFlow)
Train AI/ML models and tune their hyperparameters for a given dataset and algorithm objectives
Provide solutions for data collection and data linting that enable rapid, automated curation of training data
Keep up with the SoTA practices for AI/ML
Software development, documentation, and coding best practices:
Adhere to teams' standards for reviewing source code, unit‑testing, source code control, and documentation practices
Utilize Python PEP8 standards
Beneficial FPGA experience
Design, implement, and optimize FPGA logic using AMD/Xilinx toolchains (Vivado, Vitis, HLS) development in VHDL/Verilog
Integrate FPGA designs into larger systems, ensuring robust verification, documentation, and deployment across multiple platforms (Zynq/Zynq UltraScale+, Versal, or custom boards)
Qualifications Required Qualifications:
TS/SCI clearance.
Bachelor's Degree in either Electrical Engineering, Mathematics, Statistics, Physics, Computer Science, or related field of study
Eight years' experience with AI/ML, sfotware R&D, or related experience
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
Desired Qualifications:
Advanced degree (MS/PhD) in Data Science, Mathematics, Statistics, Computer Science, a Physical Science or Engineering is strongly desired
Eight years' experience with AI/ML, sfotware R&D, or related experience
Experience with DoD intelligence production processes and workflows
3+ years operational experience in radar signal processing analysis, overhead imagery analysis, orbital mechanics, and/or electronic warfare data analysis
2+ 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
Compensation $155,000 - $170,000 . This represents the typical compensation range for this position based on experience, location and other factors.
Closing Statement Riverside Research Institute is a not‑for‑profit, technology‑oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action‑equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job‑related criteria related to our organizational purpose as a not‑for‑profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.
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ID: 2025-4067
Category: Software Development
Position Type: Full Time Salary
Overview Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high‑end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.
Position Overview Riverside Research is seeking an Artificial Intelligence / Machine Learning 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.
Responsibilities AI/ML Algorithm R&D
Develop innovative machine learning and computer vision solutions to analyze and exploit large, complex datasets from remote sensing phenomenology
Develop algorithms and associated software tools using Python and associated machine learning libraries (PyTorch, TensorFlow)
Train AI/ML models and tune their hyperparameters for a given dataset and algorithm objectives
Provide solutions for data collection and data linting that enable rapid, automated curation of training data
Keep up with the SoTA practices for AI/ML
Software development, documentation, and coding best practices:
Adhere to teams' standards for reviewing source code, unit‑testing, source code control, and documentation practices
Utilize Python PEP8 standards
Beneficial FPGA experience
Design, implement, and optimize FPGA logic using AMD/Xilinx toolchains (Vivado, Vitis, HLS) development in VHDL/Verilog
Integrate FPGA designs into larger systems, ensuring robust verification, documentation, and deployment across multiple platforms (Zynq/Zynq UltraScale+, Versal, or custom boards)
Qualifications Required Qualifications:
TS/SCI clearance.
Bachelor's Degree in either Electrical Engineering, Mathematics, Statistics, Physics, Computer Science, or related field of study
Eight years' experience with AI/ML, sfotware R&D, or related experience
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
Desired Qualifications:
Advanced degree (MS/PhD) in Data Science, Mathematics, Statistics, Computer Science, a Physical Science or Engineering is strongly desired
Eight years' experience with AI/ML, sfotware R&D, or related experience
Experience with DoD intelligence production processes and workflows
3+ years operational experience in radar signal processing analysis, overhead imagery analysis, orbital mechanics, and/or electronic warfare data analysis
2+ 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
Compensation $155,000 - $170,000 . This represents the typical compensation range for this position based on experience, location and other factors.
Closing Statement Riverside Research Institute is a not‑for‑profit, technology‑oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action‑equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job‑related criteria related to our organizational purpose as a not‑for‑profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.
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