ML) Engineer 1

Peraton•Laurel, MD

2d•$112,000 - $179,000•Onsite

About The Position

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.

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 (6 years total) additional years of machine learning experience on similar projects may be substituted).
Minimum TS/SCI required. Ability to obtain/maintain TS/SCI with Poly is required to start.
Experience in working with various ML libraries and packages.

Nice To Haves

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

Responsibilities

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.
Select appropriate data sets.
Perform statistical analysis.
Run machine learning algorithms.
Use results to improve models.
Train and retrain systems when needed.
Run standard test and evaluation protocols.
Provide system integration oversight.
Experience training, retraining, deploying, scheduling, monitoring, and improving models based on iterative user and system feedback is required to support designing and creating scalable solutions for optimal performance.

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
Enhanced professional development opportunities, including training, certification programs, and skill-building experiences tailored to individual strengths, career goals, and role-specific requirements.

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