Artificial Intelligence/Machine Learning (AI/ML) Engineer 1

Peraton · Laurel, MD · Yesterday

On-siteInformation Technology$112k–$179k/yrFull-time

About the Company

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, Peraton delivers trusted, highly differentiated solutions and technologies to protect our nation and allies. The company operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. Peraton serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Employees solve complex challenges to keep people around the world safe and secure.

About the Role

Designs, develops, tests, and deploys AI/ML algorithms to address complex business challenges and mission requirements. Develops models capable of learning from data, generating accurate predictions, and aligning with customer-defined business logic and operational objectives. Demonstrates expertise in model architecture, data pipeline integration, and the application, interpretation, and presentation of performance metrics. Maintains a strong understanding of application development, infrastructure management, data engineering, and data governance principles to support scalable and efficient AI/ML solutions. May lead geographically distributed teams and frequently serve as a primary point of contact for AI-related initiatives. Requires strong analytical thinking, problem-solving abilities, and exceptional written and verbal communication skills.

Responsibilities

Select appropriate data sets.
Perform statistical analysis.
Run machine learning algorithms.
Use results to improve models.
Train and retrain systems when needed.
Work with various ML libraries and packages.
Run standard test and evaluation protocols.
Provide system integration oversight.
Train, retrain, deploy, schedule, monitor, and improve models based on iterative user and system feedback to support designing and creating scalable solutions for optimal performance.

Requirements

Minimum of 2 years of experience in applied machine learning on programs/contracts of similar scope, type, and complexity.
Bachelor of Science degree in Advanced Mathematics (e.g., calculus, linear algebra, Bayesian statistics), Computer Science, or related STEM discipline from an accredited college or university. (In lieu of a bachelor's degree, 4 additional years of machine learning experience on similar projects may be substituted, totaling 6 years of experience.)
Minimum TS/SCI clearance required; ability to obtain/maintain TS/SCI with Poly is required to start.

Desired Qualifications

Expert knowledge of multiple programming languages, e.g., Python, Java, C, R.

Benefits

Heavily subsidized employee benefits coverage for you and your dependents.
25 days of PTO accrued annually up to a generous PTO cap.
Eligibility to participate in an attractive bonus plan.
Medical, dental, vision, life, and health savings account benefits.
Short/long term disability and EAP.
Parental leave.
401(k) retirement plan.
Paid time off (PTO) for vacation and company-paid holidays.

Selected candidates may be eligible for enhanced professional development opportunities, including training, certification programs, and skill-building experiences tailored to individual strengths, career goals, and role-specific requirements.

Pay

Target salary range: $112,000 - $179,000. Salary is determined by various factors, including 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.