Reinforcement Learning AI Engineer

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.

You Have: 

• 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

• Secret clearance

• Bachelor's degree in a Computer Science, Artificial Intelligence, or Engineering field

Nice If You Have: 

• 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

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Indivi