Mandatory Internship – Code Models: Synthetic Data Generation & RL Post-Training(m/w/x)

Description

You will drive AI innovation by researching code models and building data pipelines. Your day-to-day involves developing advanced RL methods and collaborating with scientists to optimize machine learning solutions.

Requirements

• •Enrollment in relevant Bachelor's or Master's degree
• •Strong Python programming skills
• •Knowledge of C++ or Java (plus)
• •Understanding of machine and deep learning
• •Familiarity with LLM frameworks like Hugging Face
• •Interest in reinforcement learning and synthetic data
• •Strong analytical and problem-solving skills
• •Independent and collaborative work capability
• •Proficiency in English

Tasks

• •Research code models for synthetic data generation
• •Study RL post-training to enhance model performance
• •Design pipelines for efficient synthetic data generation
• •Implement data pipelines for training purposes
• •Develop advanced RL methods for code model optimization
• •Evaluate RL methods tailored for post-training
• •Collaborate with data and AI scientists
• •Document findings and share knowledge with the team

Tools & Technologies

Benefits