Sr. AI/ML Engineer III (6273)

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.

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

Requirements:

• 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