**Introduction** A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. **Your role and responsibilities** We are seeking an experienced AI software engineer capable of leading and supporting the development of adversarial robustness capabilities within the Department of Defense. This software engineer will work with a team of developers and research scientists to extend and enhance the existing open-source python package, Adversarial Robustness Toolkit (ART), and associated hardened extension library, (HE)ART, to enable machine learning (ML) model testing against measures of adversarial robustness. Tasks include: * Supporting the integration of (HE)ART capabilities into a complimentary suite of front-end applications for enablement of Test and Evaluation (T&E) of ML models by low-code users. * Supporting the implementation of standard coding and open-source maturity standards. * Creating technical documentation, including creating demonstrative notebooks to showcase proper use of capabilities. * Supporting the development of new adversarial robustness testing methods and corresponding defenses. This job can be performed from anywhere in the US. **Required technical and professional expertise** * Python * Strong understanding of Python programming language * Experience with popular libraries and frameworks like NumPy, pandas, scikit-learn, matplotlib, and PyTorch * Experience with developing front-end applications with popular python frameworks (e.g. streamlit, gradio, panel) * Experience with Object Oriented Programming (OOP) including the design and implementation of software according to OOP principles * Familiarity with type checking in Python, using tools like mypy or type hints for static type checking * Machine Learning * Knowledge of machine learning concepts, algorithms, and techniques * Experience in implementing and tuning machine learning models * Experience with computer vision model development (including image classification and object detection) and evaluation (including knowledge of performance metrics) * Software Development * Experience in software development best practices, including version control (Git), testing, and documentation * Familiarity with open-source development workflows and community engagement **Preferred technical and professional experience** * Working knowledge of Adversarial Machine Learning * Understanding of adversarial attacks and defenses in machine learning * Experience with adversarial robustness and security research * Open-source Contributions * Experience contributing to or maintaining open-source projects * Familiarity with open-source licenses and project governance * Security * Understanding of general cybersecurity principles and practices * Awareness of current trends and research in machine learning security * DevOps and CI/CD * Experience with continuous integration and continuous deployment (CI/CD) pipelines