• Conduct research into AI safety, focusing on robustness, fairness, and interpretability of machine learning models used in build systems • Develop algorithms and frameworks that ensure the safe deployment of AI-powered automation in software build, testing, and CI/CD workflows • Work closely with engineering teams to integrate AI safety mechanisms and ensure robust error handling and fault tolerance • Investigate and mitigate risks associated with AI-driven decision-making in distributed build systems, especially in mission-critical operations • Contribute to the development of safety-critical AI models for optimizing performance, caching accuracy, and task coordination across various customer environments • Conduct studies on the ethical implications of AI in software development, ensuring that algorithms used in NativeLink align with responsible AI principles • Perform in-depth testing, model validation, and risk assessment to ensure AI systems meet reliability and safety standards • Collaborate with product managers and engineers to translate research findings into practical tools and features for our customers