Full-Time

Engineer – Machine Learning

ML, /Artificial Intelligence

Posted on 11/21/2024

Parsons

Parsons

Compensation Overview

$70.5k - $123.4kAnnually

Junior, Mid

Aberdeen, MD, USA

Located at Aberdeen Proving Ground (APG), Maryland.

US Top Secret Clearance Required

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Python
Git
MATLAB
C/C++
Development Operations (DevOps)
Requirements
  • BS in Electrical Engineering, Computer Engineering, Computer Science, Physics or similar field
  • 2-3 years of experience with AI/ML in complex software systems
  • Knowledge of domain specific radar principles, including signal processing; target acquisition; target tracking; resource management; discrimination; and battle manager interfaces
  • 3 years of programming in modern C++
  • Experience using tools such as MATLAB or Python for analysis of data sets
  • Experience with running and modifying simulations and performing analysis
Responsibilities
  • Provide analysis, requirements and algorithm design, implementation, integration, verification, and maintenance of artificial intelligence software systems, and collaborate across multi-functional teams to identify opportunities for improving the IT services enterprise.
  • Research and implement state-of-the-art ML technologies tailored for application to RF data processing.
  • Exercise a strong knowledge of software systems, AI/ML design methods, and system of systems architectures.
  • Understand supporting technologies including cloud computing, containerization (for deployment), parallelization (for training), databases (for training data), and Git (for code management).
  • Collaborate across multi-functional teams to identify opportunities for improving the Advanced Engineering and Modeling and Simulation Experimentation Environment and Solutions.
  • Participate in algorithmic design and machine learning frameworks including classification and targeting techniques.
  • Understand and follow development operations procedures such as source control, change management and release planning.
  • Integrate AI engine/ techniques with modeling and simulation applications.

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A