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HomeCompaniesCareers Peraton Icims ComArtificial Intelligence/Machine Learning (AI/ML) Engineer 2 TS/SCI w Poly

Artificial Intelligence/Machine Learning (AI/ML) Engineer 2 TS/SCI w Poly

Careers Peraton Icims Com · Laurel, MD, US · Active · $176,000–$282,000 / day · iCIMS

Job facts

FieldValue
CompanyCareers Peraton Icims Com
TitleArtificial Intelligence/Machine Learning (AI/ML) Engineer 2 TS/SCI w Poly
Normalized title-
Department / teamScientific, Research & Analysis
LocationLaurel, MD, United States
Work model-
Employment typeFull Time
Salary$176,000–$282,000 / day
Statusactive
ATS provideriCIMS
Posted / first seen2026-05-15 / 2026-05-31
Changed / last seen2026-06-06 / 2026-06-06

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PageWhat it containsOpen
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Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through iCIMS.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Laurel.Open
Department jobsActive postings in Scientific, Research & Analysis.Open
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Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyCareers Peraton Icims Com
Source944b3981-c90b-4379-a0d8-7cc8e4e36cf3
ATS provideriCIMS

Description

Responsibilities Designs, develops, tests, and operationalizes algorithms to solve complex business challenges and mission requirements. Models are built to learn from data and generate predictions aligned with customer-defined business logic and operational needs. Demonstrates proficiency across model architecture, data pipeline integration, and the application, interpretation, and presentation of performance metrics. Maintains a strong understanding of foundational concepts in application development, infrastructure management, data engineering, and data governance. Responsible for training, retraining, deploying, scheduling, monitoring, and continuously improving 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, requiring strong analytical thinking, problem-solving ability, and exceptional communication skills. Technical & Engineering Expertise Experience working with various ML libraries, packages, and frameworks Experience with standard machine learning frameworks such as: PyTorch or TensorFlow Design or select appropriate data and knowledge representation methods Recognize and apply software architecture, data modeling, and data structure principles Transform data science prototypes into scalable production solutions Provide system integration oversight Core AI/ML Capabilities Select appropriate datasets for machine learning applications Perform statistical analysis and data interpretation Run and evaluate machine learning algorithms Use analytical results to improve and optimize models Train and retrain systems as required Research and implement a broad range of AI/ML algorithms and tools Verify data integrity and model output quality Identify data distribution differences that may impact model performance Testing, Evaluation & Validation Run standard testing and evaluation protocols Oversee testing and evaluation of AI/ML algorithms through iterative design processes Ensure solutions meet verification and validation requirements #MDFSP #peratonroyalmove Qualifications Experience & Education Requirements Minimum of 5 years of experience in applied machine learning on programs/contracts of similar scope, type, and complexity Master’s or Ph.D. degree in one of the following from an accredited college or university: Advanced Mathematics Artificial Intelligence Data Science Computer Science Deep Learning A relevant Bachelor’s degree plus 5 additional years of machine learning experience may be substituted for a Master’s degree. An active TS/SCI with Poly is required. Desired Qualifications: Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, is desired. Peraton offers enhanced benefits to employees working on our critical National Security programs, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap and eligible to participate in an attractive bonus plan. #MDFSP #MPOJobs #AJCM #PeratonRoyalMove Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure. Target Salary Range $176,000 - $282,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Full job record

Job IDd28ac2bea63f49644ad8df95553bdee89b6b9dd9
Org IDb88db125-2f81-4362-9897-a29d0e7de670
Source ID944b3981-c90b-4379-a0d8-7cc8e4e36cf3
Board ID944b3981-c90b-4379-a0d8-7cc8e4e36cf3
Providericims
Provider Job Key166861
TitleArtificial Intelligence/Machine Learning (AI/ML) Engineer 2 TS/SCI w Poly
Normalized Title
Statusactive
Activeyes
Location TextLaurel, MD, US
DepartmentScientific, Research & Analysis
Team
Employment Typefull_time
Workplace Type
Remote Policy
CountryUnited States
RegionMD
CityLaurel
Salary RawResponsibilities Designs, develops, tests, and operationalizes algorithms to solve complex business challenges and mission requirements. Models are built to learn from data and generate predictions aligned with customer-defined business logic and operational needs. Demonstrates proficiency across model architecture, data pipeline integration, and the application, interpretation, and presentation of performance metrics. Maintains a strong understanding of foundational concepts in application development, infrastructure management, data engineering, and data governance. Responsible for training, retraining, deploying, scheduling, monitoring, and continuously improving 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, requiring strong analytical thinking, problem-solving ability, and exceptional communication skills. Technical & Engineering Expertise Experience working with various ML libraries, packages, and frameworks Experience with standard machine learning frameworks such as: PyTorch or TensorFlow Design or select appropriate data and knowledge representation methods Recognize and apply software architecture, data modeling, and data structure principles Transform data science prototypes into scalable production solutions Provide system integration oversight Core AI/ML Capabilities Select appropriate datasets for machine learning applications Perform statistical analysis and data interpretation Run and evaluate machine learning algorithms Use analytical results to improve and optimize models Train and retrain systems as required Research and implement a broad range of AI/ML algorithms and tools Verify data integrity and model output quality Identify data distribution differences that may impact model performance Testing, Evaluation & Validation Run standard testing and evaluation protocols Oversee testing and evaluation of AI/ML algorithms through iterative design processes Ensure solutions meet verification and validation requirements #MDFSP #peratonroyalmove Qualifications Experience & Education Requirements Minimum of 5 years of experience in applied machine learning on programs/contracts of similar scope, type, and complexity Master’s or Ph.D. degree in one of the following from an accredited college or university: Advanced Mathematics Artificial Intelligence Data Science Computer Science Deep Learning A relevant Bachelor’s degree plus 5 additional years of machine learning experience may be substituted for a Master’s degree. An active TS/SCI with Poly is required. Desired Qualifications: Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, is desired. Peraton offers enhanced benefits to employees working on our critical National Security programs, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap and eligible to participate in an attractive bonus plan. #MDFSP #MPOJobs #AJCM #PeratonRoyalMove Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure. Target Salary Range $176,000 - $282,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
Salary Min176,000
Salary Max282,000
Salary CurrencyUSD
Salary Periodday
Source URLhttps://careers-peraton.icims.com/jobs/166861/artificial-intelligence-machine-learning-%28ai-ml%29-engineer-2-ts-sci-w-poly/job
Apply URLhttps://careers-peraton.icims.com/jobs/166861/artificial-intelligence-machine-learning-%28ai-ml%29-engineer-2-ts-sci-w-poly/job
First Seen At2026-05-31 18:45:22Z
Last Seen At2026-06-06 08:30:31Z
Last Checked At2026-06-06 08:30:31Z
Last Changed At2026-06-06 08:30:31Z
Inactive At
Source Posted At2026-05-15 04:00:00Z
Source Updated At2026-06-04 17:42:03Z
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