Machine Learning Engineer

Machine Learning Engineer Radiance Technologies - 4.3 Beavercreek, OH Job Details Full-time 7 hours ago Benefits Dental insurance 401(k) Tuition reimbursement Vision insurance Qualifications Spatial analysis Version control Top Secret Clearance Doctoral degree in statistics Computer science MATLAB Reinforcement learning Data Integration (Data management) RNN Data mining Statistics Computer Science Bachelor's degree in statistics PyTorch Bachelor's degree in Physics Computer vision TS/SCI Engineering Mathematics Secret Clearance Git Doctoral degree in Computer Science Statistical analysis C++ Outlier detection Bachelor's degree in engineering Bachelor's degree Ph.D. in statistics Doctor of Philosophy CNN Doctoral degree in physics Physics Technical writing APIs Regression analysis Geospatial analysis Keras Clustering Bachelor's degree in mathematics Senior level AI Bachelor's degree in computer science Dimensionality reduction Research & development Machine learning frameworks Communication skills Sensors Bachelor's degree in data science Data Science Full Job Description 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.

Required Experience:

A working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) Experience in 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 the following languages Python, Matlab, C++ Experience with Machine Learning APIs, such as TensorFlow, PyTorch, or Keras Active Secret Clearance with ability to obtain and maintain a

TS/SCI Desired Skills:

ML for either 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 A mathematical background (Probability and Statistics) An experienced grasp of version control using Git for nonlinear workflows Thorough understanding of working in research, development and production environments Background in image science, imagery exploitation, spatial analysis, and computer vision are a plus R D on remotely sensed data to include modeling and development of algorithms. Ability to work independently or in a team environment Strong technical writing and oral communication skills Active Top Secret/SCI clearance Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.