Data Scientist Intern – GenAI & ML Research (Summer… at LMI · Tysons…

Summary: LMI is a digital solutions provider focused on enhancing government impact through innovation and technology. They are seeking a Data Science Intern to assist in the design of decision frameworks for large language models and contribute to mechanistic interpretability research, ensuring reliable AI outputs. 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, Independent Work Internship Start Date: Start in 2026 Summer