Machine Learning Engineer

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

Required Skills & Qualifications

• Bachelors 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