Reinforcement Learning AI Engineer at Booz Allen Hamilton

Booz Allen is hiring a Reinforcement Learning AI Engineer to design, train, evaluate, deploy, and maintain reinforcement learning and multi-agent reinforcement learning algorithms for mission-critical decision-making systems. The role involves building scalable Python and ML pipelines, using simulators such as Gym or PettingZoo, applying policy optimization and other RL techniques, and transitioning models into production systems. The position is hybrid, primarily based in Huntsville, Alabama, with additional locations listed, and requires at least three years of relevant experience, a Secret clearance, and a bachelor’s degree in a relevant field. The projected annualized compensation is $99,000 to $225,000 USD.