Internship
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Responsibilities Join Noblis, a nonprofit research organization dedicated to advancing science and technology solutions for the public good. As an intern in our AI/ML research division, you'll have unique access to cutting-edge computational resources (H100s, B200s) enabling you to pursue innovative, large-scale research on LLMs. At Noblis, your work won't just be theoretical-it will directly support real-world Federal missions and contribute to making AI systems safer, more transparent, and better understood. This is your chance to independently shape exciting research directions, collaborate with passionate researchers, and build your publication record at premier academic conferences, all while addressing some of the most interesting and challenging problems in AI today. This role will be remote during the school year with an in-person component for the summer portion. We are ideally looking for someone that can work up to 20 hours a week during the school year and transition to 10 week in person experience in the summer. Roles/responsibilities- Conduct research on advanced LLM architectures, interpretability, alignment, and safety.
- Design and execute experiments exploring behavior of LLMs at scale, e.g. representation analysis, feature attribution, circuit-level understanding, or automated interpretability techniques.
- Collaborate with experienced researchers to develop innovative approaches that bridge theoretical research and practical AI challenges.
- Communicate findings through presentations and written reports, contributing to broader organizational research objectives.
- US Citizenship
- Familiarity with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar tools.
- Comfortable with modern software development practices including version control systems, automated testing, and debugging.
- Currently pursuing a bachelor's degree or master's degree in computer science or related disciplines with a 3.3 GPA with a graduation date in 2026 or 2027
- Motivation to advance research with real-world impact to deepen understanding and improve transparency of LLMs
- Hands-on experience working with large neural models.
- Prior experience in a research lab or academic setting, particularly in machine learning, NLP, or AI.
- Prior publications at top conferences (NeurIPS, ICML, ICLR, AAAI, CVPR, ICRA, etc.)
- Proven ability to independently pursue research, proactively contribute innovative ideas, and thrive within collaborative teams.
- Remote/hybrid status is subject to change based on Noblis and/or government requirements
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