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AI/ML Software Engineer

4 weeks ago


Aberdeen Proving Ground, Maryland, United States Insight Global Full time
Job Description

Insight Global is seeking a highly skilled AI/ML software engineer to join our team at Aberdeen Proving Ground (APG), Maryland. As part of our Science and Technology (S&T) efforts, you will work on advanced radar capabilities development, utilizing state-of-the-art engineering and modeling tools.

You will apply your knowledge and experience in AI, Deep Learning, and Digital Signal Processing to develop hardware and software for current and next-generation RF systems, including radar, electronic warfare, and Intelligence Surveillance and Reconnaissance (ISR) sensors.

Key Responsibilities:
  • Research and implement state-of-the-art Machine Learning technologies for radar data processing.
  • Design and develop software systems, artificial intelligence, and Deep Learning frameworks.
  • Participate in algorithmic design and machine learning frameworks, including detection, classification, and targeting techniques.
  • Provide analysis, requirements, and algorithm design, implementation, integration, verification, and maintenance of artificial intelligence software systems.
  • Collaborate across multi-functional teams to identify opportunities for improving the IT services enterprise.

Requirements:

  • BS in Electrical Engineering, Computer Engineering, Computer Science, Physics, or similar field.
  • 2-3 years of relevant experience with AI/ML in complex software systems.
  • Knowledge of digital signal processing for radar signals.
  • Programming experience in modern C++ and Python or Matlab for data analysis.

Benefits:

  • Competitive salary range: $55-$77 per hour.
  • Medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options.
  • 401k retirement account access with employer matching.
  • Paid sick leave and/or other paid time off as provided by applicable law.

We are an equal opportunity/affirmative action employer committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.