Radiance Technologies
Radiance is seeking a Machine Learning Engineer who will advance the artificial intelligence capabilities of the National Air and Space Intelligence Center at Wright Patterson Air Force Base. This engineer will provide expertise in data analytics and algorithm development supporting the integration and analysis of diverse data sources and develop machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection. Additionally, this position will improve upon current methods for the automated processing and exploitation of large data sets. This will include R&D on projects involving the exploitation of data from sensors including investigation of state‑of‑the‑art machine learning classification methods to detect, track, and characterize targets of interest.
Radiance Technologies is an employee‑owned company with benefits that are unmatched by most companies in the Dayton, OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, interesting assignments, educational reimbursement, competitive salaries and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.
Location: Wright Patterson Air Force Base, OH
Required Experience
Working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)
Experience applying core Machine Learning methodologies: Regression, Classification, Clustering, Decision Trees, Dimensional Reduction, Neural Networks & Deep Learning, Feature Engineering
Required Skills & Qualifications
Bachelor’s Degree in a quantitative field such as Physics, Engineering, Computer Science, Statistics, or a related field
Strong programming skills in at least one of: Python, Matlab, C++
Experience with Machine Learning APIs, such as TensorFlow, PyTorch, or Keras
Active Secret Clearance with the ability to obtain and maintain a TS/SCI
Desired Skills
ML for natural language processing, computer vision, reinforcement learning, generative modeling, or equivalent experience
PhD in data science, mathematics, statistics, computer science, a physical science or engineering is strongly desired
Mathematical background in Probability and Statistics
Experience with Git version control for nonlinear workflows
Thorough understanding of working in research, development and production environments
Background in image science, imagery exploitation, spatial analysis, and computer vision is a plus
R&D on remotely sensed data, including modeling and algorithm development
Ability to work independently or in a team environment
Strong technical writing and oral communication skills
Active Top Secret/SCI clearance
EEO Statement EOE/Minorities/Females/Vet/Disabled
Seniority level Entry level
Employment type Full‑time
Job function Engineering and Information Technology
Industries Defense and Space Manufacturing
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Radiance Technologies is an employee‑owned company with benefits that are unmatched by most companies in the Dayton, OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, interesting assignments, educational reimbursement, competitive salaries and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.
Location: Wright Patterson Air Force Base, OH
Required Experience
Working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)
Experience applying core Machine Learning methodologies: Regression, Classification, Clustering, Decision Trees, Dimensional Reduction, Neural Networks & Deep Learning, Feature Engineering
Required Skills & Qualifications
Bachelor’s Degree in a quantitative field such as Physics, Engineering, Computer Science, Statistics, or a related field
Strong programming skills in at least one of: Python, Matlab, C++
Experience with Machine Learning APIs, such as TensorFlow, PyTorch, or Keras
Active Secret Clearance with the ability to obtain and maintain a TS/SCI
Desired Skills
ML for natural language processing, computer vision, reinforcement learning, generative modeling, or equivalent experience
PhD in data science, mathematics, statistics, computer science, a physical science or engineering is strongly desired
Mathematical background in Probability and Statistics
Experience with Git version control for nonlinear workflows
Thorough understanding of working in research, development and production environments
Background in image science, imagery exploitation, spatial analysis, and computer vision is a plus
R&D on remotely sensed data, including modeling and algorithm development
Ability to work independently or in a team environment
Strong technical writing and oral communication skills
Active Top Secret/SCI clearance
EEO Statement EOE/Minorities/Females/Vet/Disabled
Seniority level Entry level
Employment type Full‑time
Job function Engineering and Information Technology
Industries Defense and Space Manufacturing
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