Reinforcement Learning Ai Engineer

Booz Allen Hamilton

Multiple Locations
Base: $99,000.00 to $225,000.00; bonus/equity: not...
Onsite
Reinforcement learning (rl) and multi-agent reinforcement learning (marl) algorithms
Scalable training pipelines using python
Simulated environments using gym or pettingzoo
Booz Allen Hamilton is seeking a Reinforcement Learning AI Engineer to join their team focused on Space solutions. The role requires expertise in artificial intelligence and reinforcement learning to develop and maintain models for complex decision-making problems

Job Summary

  • Leverage expertise in artificial intelligence, data science, and machine learning engineering to train, test, deploy, and maintain models that learn from data.
  • 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.
  • Pioneer a growing community of machine learning engineers across the company, bringing significant technological advancements that drive mission success.

Matching Summary

Match Score: 85

Booz Allen Hamilton is seeking a Reinforcement Learning AI Engineer to join their team focused on Space solutions. The role requires expertise in artificial intelligence and reinforcement learning to develop and maintain models for complex decision-making problems.

Salary

Base: $99,000.00 to $225,000.00; Bonus/Equity: Not specified; Benefits: Included

Skills & Requirements

Must-have

  • Reinforcement learning (RL) and multi-agent reinforcement learning (MARL) algorithms
  • Scalable training pipelines using Python
  • Simulated environments using Gym or PettingZoo
  • Policy optimization, value-based learning, model-based RL, and imitation learning
  • Reward structures, constraints, and evaluation metrics
  • Distributed training workflows
  • Transition trained models into production systems
  • System architecture and performance optimization

Nice-to-have

  • RL to autonomy, control systems, or mission-scale
  • Multi-Agent Reinforcement Learning (MARL)
  • AFSIM or other high-fidelity simulation environments
  • Embedded systems programming
  • GPU programming, CUDA or RAPID
  • In-space solutions development
  • Modern software design patterns
  • Kubernetes deployment

Key Requirements

  • Experience developing and training reinforcement learning agents
  • Experience with Gym or PettingZoo interfaces
  • Experience with ML frameworks (PyTorch, TensorFlow, JAX)
  • Experience with AI, data science, ML engineering, or software engineering
  • Experience developing technical solutions using Python, C++, or Rust
  • Knowledge of reinforcement learning and artificial neural networks
  • Ability to obtain a Secret clearance
  • Bachelor's degree in Computer Science, Artificial Intelligence, or Engineering

Work Rights

Ability to obtain a Secret clearance

Tailored Resume

Cover Letter