Research Science Intern

What you'll do

• Own a research project end-to-end by framing the research question and running experiments.
• Train machine learning models and manage GPU resources for large-scale experiments.
• Read and reimplement recent research papers to support ongoing projects.
• Write up research findings for publication and use toward a doctoral dissertation.
• Report honest empirical results, including failed ablations and unsuccessful experiments.
• Translate fundamental research into practical systems for production environments.

What we're looking for

• Currently enrolled in a PhD program at Carnegie Mellon University in machine learning, computer science, statistics, or a related field.
• Possess depth in at least one area relevant to the lab's research focus.
• Comfortable running real experiments, including training models, working with GPUs, and reimplementing recent papers.
• Provide evidence of research ability through conference/workshop papers, preprints, open-source contributions, or lab projects.
• Demonstrate research taste by explaining why a problem matters and what would change if it were solved.
• Practice honest empiricism by reporting ablations that did not work.
• Have support from a faculty advisor.
• Be eligible for any required authorizations from the US government to conform to export control regulations.