Machine Learning Engineer

About the role

Radiance is seeking a Machine Learning Engineer to 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. The role includes improving current methods for the automated processing and exploitation of large data sets, as well as 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.

Responsibilities

• Develop and apply machine learning, data mining, and statistical algorithms for pattern recognition and anomaly detection.
• Improve automated processing and exploitation methods for large data sets.
• Conduct R&D on sensor data, including state-of-the-art machine learning classification methods for detection, tracking, and characterization of targets.

Requirements

• 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.
• 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, or 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.

Qualifications

• ML experience in natural language processing, computer vision, reinforcement learning, generative modeling, or equivalent.
• PhD in data science, mathematics, statistics, computer science, a physical science, or engineering is strongly desired.
• Mathematical background in Probability and Statistics.
• 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 is a plus.
• R&D experience with remotely sensed data, including 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 is a plus.

Benefits

• Employee ownership.
• Generous 401K.
• Full health, dental, life, and vision insurance benefits.
• Educational reimbursement.
• Competitive salaries.
• Pleasant work environment.