Machine Learning Research Intern (Summer 2027)
Core
Researching frontier AI models, safety, alignment, and evaluation to build reliable hybrid human-machine systems for enterprise and public sector clients.
Role type
Research intern (Machine Learning)
Builds
Frontier AI models, evaluation benchmarks, post-training methods, and scalable oversight protocols.
Domain
Artificial Intelligence / Machine Learning Research
Deliverable
research
Required skills
Machine Learning, Deep Learning, Natural Language Processing, Python, Research methodology, Model evaluation, Reinforcement learning
Preferred skills
Publications at top-tier venues, Experience with agentic systems, Experience with evaluation infrastructure, Previous ML internship
Technologies
Python, Javascript
Responsibilities
Measure dangerous capabilities of frontier models, Research new benchmarks for frontier models, Develop training methods for difficult reasoning problems, Research reinforcement learning and post-training methods, Research scalable oversight protocols, Study model generalization boundaries, Improve production models via retraining and hyperparameter search, Create post-training or agentic solutions.
Seniority
Intern
