Reinforcement Learning AI Engineer
About The Position
Reinforcement Learning AI Engineer The Opportunity: Booz Allen is seeking an innovative and experienced AI developer specializing in reinforcement learning to join our growing team for Space solutions. In this role, you will leverage your expertise in artificial intelligence, data science, and machine learning engineering to train, test, deploy, and maintain models that learn from data. You will collaborate with cross-functional teams to translate reinforcement learning research into operational capability and production-grade code, bringing significant technological advancements that drive mission success. You’ll pioneer a growing community of machine learning engineers across the company. You’ll collaborate with a team of dedicated Space, Military, Intelligence, Engineering, and AI professionals to deliver bleeding-edge solutions to solve high-priority national defense problems. What You'll Work On: Design, implement, and train reinforcement learning (RL) and multi-agent reinforcement learning (MARL) algorithms for complex decision-making problems. Develop scalable training pipelines using Python and modern ML frameworks. Build and evaluate agents in simulated environments using Gym or PettingZoo, high-fidelity simulators, or custom environments. Apply RL techniques such as policy optimization, value-based learning, model-based RL, and imitation learning. Collaborate with domain experts to define reward structures, constraints, and evaluation metrics aligned with mission objectives. Implement distributed training workflows leveraging cloud compute, containerization, and orchestration technologies. Transition trained models into production systems, following strong software engineering best practices. Contribute to system architecture and performance optimization in Python with opportunities to extend into C++ or Rust for high-performance components. Join us. The world can’t wait.
Requirements
- Experience developing and training reinforcement learning agents
- Experience with Gym or PettingZoo interfaces
- Experience with ML frameworks such as PyTorch, TensorFlow, or JAX
- Experience with artificial intelligence, data science, machine learning engineering, or software engineering
- Experience developing technical solutions using Python, C++, or Rust
- Knowledge of reinforcement learning and artificial neural networks
- Ability to obtain a Secret clearance
- Bachelor's degree in a Computer Science, Artificial Intelligence, or Engineering field
Nice To Haves
- Experience applying RL to autonomy, control systems, or mission-scale
- Experience with Multi-Agent Reinforcement Learning (MARL)
- Experience with AFSIM or other high-fidelity simulation environments
- Experience with embedded systems programming in C, C++, or Rust
- Experience in GPU programming, including CUDA or RAPID
- Experience developing in-space solutions
- Knowledge of modern software design patterns, including microservice design and orchestration in Kubernetes deployment
- Master’s degree in Computer Science, Artificial Intelligence, Engineering, or a related field
Responsibilities
- Design, implement, and train reinforcement learning (RL) and multi-agent reinforcement learning (MARL) algorithms for complex decision-making problems.
- Develop scalable training pipelines using Python and modern ML frameworks.
- Build and evaluate agents in simulated environments using Gym or PettingZoo, high-fidelity simulators, or custom environments.
- Apply RL techniques such as policy optimization, value-based learning, model-based RL, and imitation learning.
- Collaborate with domain experts to define reward structures, constraints, and evaluation metrics aligned with mission objectives.
- Implement distributed training workflows leveraging cloud compute, containerization, and orchestration technologies.
- Transition trained models into production systems, following strong software engineering best practices.
- Contribute to system architecture and performance optimization in Python with opportunities to extend into C++ or Rust for high-performance components.
Benefits
- health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care.
- recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
