Riverside Research · 4 hours ago
Senior AI/ML Engineer
Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. The role involves developing innovative machine learning and computer vision solutions to analyze and exploit complex datasets, supporting automation solutions for scientific and technical intelligence problems.
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Responsibilities
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
Adhere to teams’ standards for reviewing source code, unit-testing, source code control, and documentation practices
Utilize Python PEP8 standards
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)
Qualification
Required
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, software 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
Preferred
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, software 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
Benefits
Comprehensive compensation and benefit packages
Company
Riverside Research
Riverside Research is a non-profit scientific research institution to serve in the research, development, and operational needs of people
Funding
Current Stage
Late StageTotal Funding
$8.7M2013-08-22Grant· $8.7M
Recent News
2025-09-30
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