Salary
💰 $9,000 - $19,200 per year
About the role
- Work very closely with researchers on projects in Trojans, Adversarial Robustness, Power Aversion, Machine Ethics, and Out-of-Distribution Detection.
- Plan and run experiments, set up, launch, and debug ML experiments.
- Conduct code reviews and collaborate in a small team to create publication-quality work.
- Leverage internal compute cluster to run experiments at scale on large language models.
- Debate and defend your experiments or projects; take ownership of individual contributions.
- Be assigned and work with a dedicated mentor throughout the internship.
Requirements
- Are able to read an ML paper, understand the key result, and understand how it fits into the broader literature.
- Are comfortable setting up, launching, and debugging ML experiments.
- Are familiar with relevant frameworks and libraries (e.g., pytorch).
- Communicate clearly and promptly with teammates.
- Take ownership of your individual part in a project.
- Have co-authored a ML paper in a top conference.