Research Internship Reinforcement Learning (Summer)

📋 Description

• Conduct literature reviews and implement RL/self-distillation algorithms.
• Design and run experiments to evaluate methods on code/agentic tasks.
• Develop and maintain code for theory and practical implementations.
• Collaborate with researchers to analyze results and publish findings.
• Design mechanisms for large rollouts (summarization and sub-agents).
• Document progress, methodologies, and outcomes clearly.

🎯 Requirements

• Strong background in ML, especially RL and deep learning.
• Proficiency in Python; experience with PyTorch and TensorFlow.
• Familiarity with LLMs and their training paradigms.
• Experience with coding tasks, unit testing, or compiler tools is a plus.
• Currently pursuing a Master’s or PhD in CS, ML, or a related field.

🎁 Benefits

• Open and inclusive culture and work environment
• Work with a team on the cutting edge of AI research
• Weekly lunches and snacks, in-office meals
• Full health and dental benefits, including mental health budget
• 100% Parental Leave top-up for up to 6 months
• Remote-flexible with offices in major cities and stipend