Senior AI/ML Engineer III
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Job Description
Provide advanced technical expertise in reinforcement learning and applied machine learning for mission-critical modeling and simulation capabilities. Role involves designing and tuning algorithms, collaborating with engineers.
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.
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
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