Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026
Core
Design, implement, and evaluate reinforcement learning algorithms to improve large language model behavior, reasoning, and alignment.
Role type
PhD research intern (applied deep learning)
Builds
New RL-based methods for LLMs
Domain
Artificial Intelligence / Large Language Models / Reinforcement Learning
Deliverable
production ML models
Required skills
Reinforcement learning, Natural language processing, Python, PyTorch, Experimental research, Large-scale training pipelines
Preferred skills
RLHF, RLAIF, Policy optimization, Reward modeling, Agentic LLM systems, Publications in RL/LLMs
Technologies
Python, PyTorch, GPU clusters
