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Reinforcement Learning Engineer
EEOC. Design, implement, and train reinforcement learning (RL) and multi-agent reinforcement learning (MARL) algorithms for complex decision-making problems .
Posted 4/24/2026full-timeColorado Springs • Colorado, Maryland, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $99,000 - $225,000 per yearWebsite
Tech Stack
Tools & technologiesCloudPythonPyTorchRustTensorflow
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- health, life, disability, financial, and retirement benefits
- paid leave
- professional development
- tuition assistance
- work-life programs
- dependent care
ATS Keywords
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Hard Skills & Tools
reinforcement learningmulti-agent reinforcement learningPythonGymPettingZooPyTorchTensorFlowJAXC++Rust
Certifications
Secret clearance