Research Engineer: Adversarial RL for AI Security

General Analysis is a frontier security lab focused on evaluating and strengthening frontier models for cyberdefense tasks. You will contribute to post-training models for adversarial capabilities using reinforcement learning in a distributed setting. You’ll handle data generation, environment design, and evaluations across the training pipeline, applying novel methods to data-constrained and low signal-to-noise environments while advancing adversarial simulations for real-world enterprises. #J-18808-Ljbffr General Analysis