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Peraton

Runs and secures technology for federal agencies

Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeAnnapolis Junction, MD, USAIn-person

About the Job

Requirements

  • Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with current polygraph is required.
  • Two years of experience in applied machine learning on programs and contracts of similar scope, type, and complexity are required.
  • A bachelor's degree in advanced mathematics, such as Calculus, Linear Algebra, or Bayesian statistics, Computer Science, or a related STEM discipline from an accredited college or university is required. Three years of additional machine-learning experience on projects with similar machine-learning processes may substitute for the bachelor's degree.
  • Proficiency in model architecture, data pipeline interaction, metrics application, interpretation, and presentation is required.
  • Familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance is required.
  • Experience training, retraining, deploying, scheduling, monitoring, and improving machine-learning models based on iterative user and system feedback is required.
  • Analytical and problem-solving skills and the ability to communicate effectively are required.

Responsibilities

  • Design, create, test, and productize artificial intelligence and machine-learning algorithms to solve business challenges.
  • Develop artificial intelligence and machine-learning models capable of learning and making predictions as defined by business logic developed to meet customer requirements.
  • Lead geographically diverse teams and often serve as a primary point of contact for artificial-intelligence-related matters.

Desired Qualifications

  • Expert knowledge of multiple programming languages, including Python, Java, C++, and R.
  • Experience with Jupyter notebooks.
  • Experience with PyTorch or TensorFlow.
  • Experience using generative artificial intelligence tools such as ChatGPT, Claude, or Gemini.
  • Experience with agent orchestration and retrieval-augmented generation (RAG).
  • Experience with AWS Bedrock.

About the Company

Peraton

Runs and secures technology for federal agencies

Peraton builds and runs secure technology for American defense, intelligence, space, and civilian agencies, from military networks to satellite ground stations. In 2025, the Federal Aviation Administration chose it to manage the overhaul of the nation's air traffic control system, replacing copper wiring with fiber and upgrading radar and radios. Its engineers, many holding security clearances, run and defend agency networks and data centers, write mission software, and operate space and communications systems, and agencies pay for this work through multiyear contracts. Peraton was formed in 2017, when private-equity firm Veritas Capital bought Harris Corporation's government IT business, and is based in Reston, Virginia.

Company size
10,001+
Company stage
Grant
Total funding
$60M
Headquarters
Reston, VA
Founded
2017

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