Description

Job Summary

We are seeking a Machine Learning Engineer to advance artificial intelligence and data analytics capabilities supporting national security and intelligence missions. This role focuses on developing and applying machine learning, data mining, and statistical algorithms to integrate and analyze diverse data sources. The engineer will contribute to research and development efforts involving large-scale data processing, pattern recognition, anomaly detection, and the exploitation of sensor-derived data to detect, track, and characterize targets of interest.

 
Key Responsibilities
Develop and apply machine learning, data mining, and statistical algorithms for pattern recognition and anomaly detection
Support integration, analysis, and exploitation of large and diverse datasets
Conduct research and development on automated processing of large-scale data
Investigate and apply state-of-the-art machine learning classification methods
Develop algorithms for detecting, tracking, and characterizing targets using sensor data
Collaborate in research, development, and production environments
Produce clear technical documentation and communicate results effectively
 
Required Experience
Working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs)
Experience applying core machine learning methodologies, including:

Regression, classification, clustering
Decision trees and dimensionality reduction
Feature engineering
Neural networks and deep learning
 

Requirements

Required Skills & Qualifications
Bachelor’s degree in a quantitative field such as Physics, Engineering, Computer Science, Statistics, or a related discipline
Strong programming skills in one or more of the following: Python, MATLAB, or C++
Experience with machine learning frameworks and APIs such as TensorFlow, PyTorch, or Keras
Active Secret security clearance with the ability to obtain and maintain a TS/SCI
 
Desired Qualifications
Experience in machine learning domains such as natural language processing, computer vision, reinforcement learning, or generative modeling
PhD in Data Science, Mathematics, Statistics, Computer Science, Engineering, or a related field
Strong background in probability and statistics
Proficiency with version control systems, particularly Git
Experience working across research, development, and production environments
Background in image science, imagery exploitation, spatial analysis, or computer vision
Research and development experience using remotely sensed data, including algorithm modeling and development
Ability to work independently or as part of a team
Strong technical writing and oral communication skills
Active Top Secret/SCI security clearance