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Peraton

Runs and secures technology for federal agencies

Artificial Intelligence/Machine Learning Engineer 3

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

About the Job

Requirements

  • At least 5 years of experience in applied machine learning on programs or contracts of similar scope, type, and complexity.
  • A relevant bachelor's degree plus 5 additional years of machine-learning experience may substitute for a master's degree.
  • A master's or Ph.D. degree in Advanced Mathematics, Artificial Intelligence, Data Science, Computer Science, or Deep Learning from an accredited college or university is required, subject to the stated substitution.
  • U.S. citizenship is required.
  • Must be able to obtain and maintain an active Top Secret/Sensitive Compartmented Information Polygraph clearance before the start date.
  • Experience working with machine-learning libraries, packages, and frameworks.
  • Experience with standard machine-learning frameworks such as PyTorch or TensorFlow.
  • Ability to design or select appropriate data and knowledge representation methods.
  • Ability to apply software architecture, data modeling, and data structure principles.
  • Ability to transform data science prototypes into scalable production solutions.
  • Ability to provide system integration oversight.
  • Ability to select appropriate datasets for machine-learning applications.
  • Ability to perform statistical analysis and data interpretation.
  • Ability to run and evaluate machine-learning algorithms.
  • Ability to use analytical results to improve and optimize models.
  • Ability to train and retrain systems as required.
  • Ability to research and implement a broad range of artificial intelligence and machine-learning algorithms and tools.
  • Ability to verify data integrity and model output quality.
  • Ability to identify data distribution differences that may affect model performance.
  • Ability to run standard testing and evaluation protocols.
  • Ability to oversee testing and evaluation of artificial intelligence and machine-learning algorithms through iterative design processes.
  • Ability to ensure solutions meet verification and validation requirements.

Responsibilities

  • Design, develop, test, and operationalize algorithms to solve complex business challenges and mission requirements.
  • Build models that learn from data and generate predictions aligned with customer-defined business logic and operational needs.
  • Apply model architecture, data pipeline integration, and performance-metric application, interpretation, and presentation.
  • Maintain an understanding of application development, infrastructure management, data engineering, and data governance concepts.
  • Train, retrain, deploy, schedule, monitor, and continuously improve models based on iterative user and system feedback to deliver scalable, high-performance solutions.
  • May lead geographically distributed teams and frequently serve as the primary point of contact for related technical matters.

Desired Qualifications

  • Expert knowledge of multiple programming languages, such as Python, Java, C, or R.
  • May be eligible for a discretionary bonus in addition to base pay.
  • May be eligible for overtime or shift differential in addition to base pay.

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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