Junior Machine Learning Engineer

About this role

ENSCO seeks a Junior Machine Learning Engineer to develop and implement ML/DL solutions for mission-critical defense applications. You'll work with senior scientists on signal processing, data fusion, and feature extraction while building and validating advanced algorithms for complex datasets.

What you'll do

• Build and train machine learning and deep learning models using frameworks like PyTorch and TensorFlow
• Perform feature extraction, signal processing, and data fusion on structured and unstructured datasets
• Design and execute controlled experiments to assess algorithm performance
• Collaborate with senior scientists to understand problem sets and physical data parameters
• Extract relevant information and insights from large, complex datasets
• Document technical work and communicate findings through reports

What they're looking for

• Machine learning and deep learning frameworks (PyTorch, TensorFlow/Keras, scikit-learn)
• Python or Matlab programming
• Signal processing and feature extraction
• Linux environment navigation and programming
• Data analytics and algorithm implementation
• Large dataset handling and data manipulation
• SQL or database management
• Data science and mathematical modeling

Benefits

• Competitive salary ($65,500–$106,600 annually)
• Comprehensive benefits package
• Hybrid work arrangement
• Full-time regular employment
• Opportunity to work on mission-critical national security projects
• Collaboration with experienced senior scientists