Research Staff Member, Applied AI

PhD or MS (with equivalent experience) in AI, Computer Science, or a related field Strong publication or patent record in areas such as large language models, reinforcement learning, agentic AI, or graph-based learning Proven experience applying modern AI research to real-world systems Fluency with modern AI tooling (e.g., PyTorch, Hugging Face, LangChain, OpenAI APIs) Strong programming skills in Python and familiarity with production-level ML/AI systems Deep understanding of LLM-based architectures, fine-tuning techniques, and prompt engineering Experience working with structured knowledge (e.g., graphs, knowledge bases, ontologies) Familiarity with adversarial ML, secure AI development, or cybersecurity applications of AI is a plus

Design, prototype, and deploy AI-driven features that power autonomous offensive security operations Lead the development of agentic AI systems capable of planning and executing multi-step cyber operations Explore and implement reinforcement learning, graph algorithms, and LLM-based reasoning in high-stakes, adversarial contexts Translate academic research and new AI advances into production-ready capabilities within our platform Collaborate with engineering and security teams to integrate AI models into scalable, high-performance systems Conduct novel research with a focus on operational viability and performance Contribute to a culture of technical excellence through code reviews, technical mentorship, and knowledge sharing Present and publish research findings internally and externally, where appropriate