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
- 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.
You Have
- Experience in developing and training reinforcement learning agents.
- Experience in artificial intelligence, data science, machine learning engineering, or software engineering.
- Experience with developing technical solutions using Python, C++, or Rust.
- Knowledge of machine learning, including reinforcement learning.
- Ability to obtain a 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 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.