Own hands-on post-training research projects for open-weight language models used for cybersecurity tasks. Develop and curate training data, objectives, and experimental controls; assess supervised, preference-based, and reinforcement-learning methods when relevant. Implement reproducible training pipelines and track datasets, configurations, checkpoints, and evaluation results. Develop and evaluate recursive self-improvement methods for training Deliver trained model artifacts and reusable workflows that red-team partners can evaluate and apply. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. These requirements include, but are not limited to the following specialized security screenings: Prior experience training open-weight language models with distributed or multi-GPU infrastructure. Prior experience with preference optimization or reinforcement-learning-based post-training. Prior experience evaluating language models in adversarial or security-focused settings. Peer-reviewed publications or released research software in language-model training, post-training, or AI security. 2+ years of experience with Python and machine learning frameworks. Experience fine-tuning or post-training language models. Prior experience post-training language models for cybersecurity tasks or evaluating language models in adversarial or security-focused settings. Prior experience developing or applying recursive self-improvement methods for model training, or peer-reviewed publications or released research software in language-model training, post-training, or AI security.