This role pays less than
70%
of similar roles. Most pay
$162,000–$231,900
— the shaded band above.
At the midpoint, this role pays about
$162k
versus about
$197k
for comparable roles.
Based on 240 similar postings.
Employer
About Booz Allen Hamilton
Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting
Booz Allen Hamilton currently has
802 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 783 roles with salary data.
As a Reinforcement Learning AI Engineer, you will join a team of machine learning engineers to develop and deploy models that solve complex decision-making problems for mission-critical applications. You will design, implement, and train reinforcement learning and multi-agent reinforcement learning algorithms while building scalable training pipelines. Your daily work involves developing agents in simulated environments using Gym or PettingZoo, defining reward structures with domain experts, and transitioning trained models into production systems. The role requires proficiency in Python, PyTorch, TensorFlow, or JAX, along with experience in C++ or Rust for high-performance components. You will utilize cloud compute, containerization, and orchestration technologies to manage distributed workflows. This position focuses on solving technical challenges within the space, military, and intelligence sectors, specifically addressing problems related to autonomy and control systems.