Reinforcement Learning AI Engineer

Booz Allen Hamilton • McLean, VA

1d

About The Position

Reinforcement Learning AI Engineer The Opportunity: Booz Allen Hamilton 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. The successful candidate 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 grow within a large community of machine learning engineers across the company and collaborate with a team of dedicated Space industry and AI professionals to deliver world-class solutions to solve missile defense problems in near-real time. What You'll Work On:

Requirements

• 5+ years of experience in artificial intelligence, data science, machine learning engineering, or software engineering
• Experience in developing and training reinforcement learning agents
• Experience with developing technical solutions using Python, C++, or Rust
• Knowledge of machine learning, with a focus on reinforcement learning
• 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 Gym or Gymnasium environments.
• 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 with ML frameworks such as PyTorch, TensorFlow, or JAX.
• Experience with 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 Gymnasium, 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

• 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.
• Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level