Senior AI​/ML Engineer

Senior AI/ML Engineer

Location:

US-OH-Fairborn

:

Category:
Software Development

Position Type:
Full Time Salary

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.

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.

• 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, Tensor Flow)
• 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 tool chains (Vivado, Vitis, HLS) development in VHDL/Verilog
• Integrate FPGA designs into larger systems, ensuring robust verification, documentation, and deployment across multiple platforms (Zynq/Zynq Ultra Scale+, Versal, or custom boards)

• 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 (Tensor Flow 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 Power Point
• 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
• 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 - Mongo
  
  DB, Express
  
  JS, Angular
  
  JS, 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

$155,000 - $170,000 . This represents the typical compensation range for this…