Demonstrable experience in the application of sophisticated AI/ML methodologies to science and/or engineering disciplines, including deep learning, generative models (e.g. LLMs, diffusion models), agentic systems, reinforcement learning, computer vision, or other emerging areas of AI research Hands-on experience developing and deploying supervised and/or unsupervised learning models Familiarity with object-oriented or functional programming principles Expertise in at least one high-level programming language (e.g. Python, R, C++, Java) Collaborative source code management and maintenance processes (e.g. Github, code reviews, CI/CD) Ability to work within multi-disciplinary teams in a fast-paced, evolving operational environment Excellent verbal and written communication skills Must be a U.S. citizen eligible for government clearances 6+ years industry or commensurate academic research experience (e.g. PhD and/or MS) in scientific or AI/ML-related domains