Research Associate - School of Computer Science - MLD

The Machine Learning Department (MLD) at Carnegie Mellon University is a leading hub for research and education in artificial intelligence and machine learning. It focuses on developing innovative algorithms and models to address complex problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs, fostering a collaborative environment that bridges theoretical research and practical applications. Faculty and students frequently collaborate with industry and other academic disciplines to push the boundaries of what is possible with machine learning.

MLD is seeking a Research Associate to carry out advanced directed research to help scientific processes maintain rigor. This position will require an in-depth knowledge of machine learning and statistics. The work will involve developing and implementing complex plans, conducting studies to understand efficacy and tradeoffs of these plans, and writing reports containing analytical descriptions of the plans and findings.

Core Responsibilities

• Formulating plans to address the posed research question.
• Developing and deploying methods that realize these plans.
• Studying the efficacy and tradeoffs.
• Writing a technical report on the work

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.
• 1-3 years of experience in research processes.
• Strong 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