Research Intern

Tech Stack

Responsibilities

• Develop and investigate research questions related to post-training, RLVR, data quality, and model evaluation.
• Design and run controlled experiments to understand how datasets, rewards, and training strategies affect model performance.
• Study reward-shaping and post-training methods, including approaches such as GRPO and DAPO.
• Design and evaluate datasets, rubrics, evaluators, and scoring frameworks for complex model capabilities.
• Build the research tooling and data pipelines needed to conduct experiments at scale.

Benefits

• Equity
• Gym Membership

Culture

Requirements