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