Research Associate - LTI - School of Computer Science

Carnegie Mellon University is seeking a motivated Research Associate to join our team to work on cutting-edge "Reasoning Reward Models" (RRMs). The purpose of this role is to help move beyond traditional scalar reward signals by developing models that generate natural language insights to explain human preferences.

Requirements

• Bachelor's Degree in Computer Science, AI, ML, Data Science or a related field.
• Programming proficiency in Python, with experience in deep learning.
• Knowledge and experience of LLM fundamentals
• Academic or project based familiarly with Large Language Model Concepts, including Supervised Fine-Tuning (SFT) and basic Reinforcement Learning (RL) concepts
• Experience manipulating and processing datasets for NLP tasks (working with tokenizers, JSONL formats or Hugging Face datasets).
• Demonstrated ability to read technical research papers and implement algorithms or baselines from code repositories.

Benefits

• Comprehensive medical, prescription, dental, and vision insurance
• Generous retirement savings program with employer contributions
• Tuition benefits
• Ample paid time off and observed holidays
• Life and accidental death and disability insurance
• Free Pittsburgh Regional Transit bus pass
• Access to our Family Concierge Team to help navigate childcare needs
• Fitness center access