Data Scientist Intern – GenAI & ML Research… at LMI · US-VA-Tys…

Summary: LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. In this internship, you will explore practical applications of generative AI and contribute to decision frameworks and mechanistic interpretability research. Responsibilities: - Develop a decision framework and ground rules for leveraging LLMs, agents, and code, including an assessment of their respective strengths, limitations, and risks - Perform mechanistic interpretability research to ensure that LLM outputs are genuinely grounded in reliable source material - Translate complex analyses into clear, actionable insights for both technical and non-technical stakeholders, enabling effective decision-making - Work independently to explore and prototype novel approaches, while maintaining high standards of methodological rigor and skepticism - Stay up-to-date on cutting-edge technologies, frameworks, and best practices in generative AI and mechanistic interpretability to ensure solutions remain innovative - Collaborate with stakeholders to identify customer needs and recommend value-added solutions - Hone skills in consulting, project management, and cross-functional collaboration to support impactful project delivery Required Qualifications: - Proficiency in programming languages such as Python, R, or similar - Foundational experience or coursework in machine learning and data science - Strong critical thinking skills to evaluate models, assumptions, and data rigorously - Ability to work independently or on teams, balancing curiosity with methodical analysis - Effective communication skills, enabling the presentation of complex findings to both technical and non-technical audiences - Applicants must meet eligibility requirements for a U.S. Government security clearance - Only US Citizens are eligible for a security clearance Preferred Qualifications: - Familiarity with commonly used machine learning frameworks (e.g., pandas, NumPy, Matplotlib) - Experience with rapid prototyping, experimentation, and iterating on models - A creative yet practical mindset, willing to challenge assumptions while aligning with organizational goals - Knowledge of cloud computing platforms, such as AWS Required Skills: Python, R, Machine Learning, Data Science, Machine Learning Frameworks, Rapid Prototyping, Experimentation, Cloud Computing Platforms, AWS, Independent Work Internship Start Date: Start in 2026 Summer