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MetroStar · 3 hours ago

Sr. AI/ML Engineer III (6273)

United States

Full-time

Remote

Senior Level, Lead/Staff

$179K/yr - $189K/yr

10+ years exp

MetroStar is committed to building the best teams and delivering exceptional technology services. The Sr. AI/ML Engineer III will provide advanced technical expertise in reinforcement learning and applied machine learning to develop and modernize mission-critical modeling and simulation capabilities.

Artificial Intelligence (AI)Cloud Data ServicesCyber SecurityInformation TechnologyMachine LearningManagement ConsultingMobileSoftware

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Design, implement, and tune reinforcement learning algorithms to support decision making and behavior modeling in simulation environments

Define and refine reward functions, state representations, and action spaces aligned to mission objectives

Build and maintain training environments and experimentation pipelines for reinforcement learning agents

Evaluate agent performance using rigorous metrics such as convergence, sample efficiency, robustness, and stability

Analyze training outcomes and simulation results to recommend changes to models, scenarios, or learning approaches

Collaborate closely with modeling and simulation engineers and software teams to integrate RL components into the baseline

Ensure AI and ML components are transparent, testable, and maintainable within the broader system architecture

Support test events, demonstrations, and technical reviews by clearly communicating AI and ML behavior and results

Qualification

Reinforcement LearningPythonApplied Machine LearningPolicy Gradient MethodsQ-learningActor-Critic ModelsData ScienceCollaborationCommunication

Required

Hold an active U.S. Government issued Secret clearance

10+ years of experience in data science with some of those years focused on artificial intelligence, or applied machine learning

Demonstrated hands-on experience implementing and tuning reinforcement learning algorithms in Python

Experience with reinforcement learning approaches such as policy gradient methods, Q-learning, and actor-critic models

Proven ability to integrate ML or RL components into larger software or modeling and simulation systems

Experience working closely with software engineers and modeling teams to operationalize AI solutions

Benefits

Health, dental, and vision insurance

401(k) retirement plan with company match

Paid time off (PTO) and holidays

Parental Leave and dependent care

Flexible work arrangements

Professional development opportunities

Employee assistance and wellness programs

Company

MetroStar

Glassdoor3.7

MetroStar is a leading provider of secure digital transformation and Artificial Intelligence (AI)-enabled solutions, specializing in delivering cutting-edge IT services to government agencies and defense organizations.

Founded in 1999

Reston, Virginia, USA

501-1000 employees