Research Associate - School of Computer Science - LTI

Carnegie Mellon University is a private, global research university that stands among the world's most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!

The Language Technologies Institute (LTI) at Carnegie Mellon University is a world-renowned research and education hub at the forefront of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding, processing, and generating human language in both written and spoken forms.

LTI is seeking a Research Associate to assist with working on our ongoing research project examining the safety of tool-using AI agents, exploring how to make AI agents safer using on-the-fly mitigation methods. Ultimately, this will involve conducting the research and writing it up as an academic paper.

Core Responsibilities

• Help with designing and implementing evaluation frameworks to assess the safety and alignment of autonomous AI systems.
• Analyze model behavior in open-ended environments and document safety implications.
• Help co-author and contribute formal research papers for publication in AI safety and NLP venues.
• Other duties as assigned.

Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

Qualifications:

• Bachelor's degree required. Master's degree preferred.
• 1-3 years of research experience in machine learning, natural language processing, AI safety or AI systems.
• Strong analytical, communication, problem-solving and reasoning skills.
• A combination of education and proven experience from which comparable knowledge is demonstrated may be considered.

Requirements

• Successful background check