Reinforcement Learning AI Engineer

Location: Annapolis Junction

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 Petting Zoo, 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 Petting Zoo interfaces

* Experience with ML frameworks such as PyTorch, Tensor Flow, 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.

Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $ (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees.

This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We…