Research Intern

📋 Description

• Develop and investigate research questions related to post-training, RLVR, data quality, and model
• Design and run controlled experiments to understand how datasets, rewards, and training strategies
• Study reward-shaping and post-training methods, including approaches such as GRPO and DAPO.
• Develop methods for measuring data quality, usability, and performance uplift on key benchmarks.
• Design and evaluate datasets, rubrics, evaluators, and scoring frameworks for complex model
• Conduct systematic error analysis to identify model failure modes and opportunities for improvement.

🎯 Requirements

• Currently pursuing a master’s or PhD in computer science, machine learning, statistics
• Demonstrated ability to formulate research questions, design experiments, and draw sound
• Demonstrated experience in at least one of the following: Training, fine-tuning, or evaluating
• At least one publication or open source project.
• Strong programming skills, particularly in Python, and the ability to write reliable research code.
• Familiarity with machine learning fundamentals, experimental design, and statistical analysis.

🎁 Benefits

• Mentorship from experienced researchers.
• Work on real, high-impact projects.
• $1.5K monthly stipend for meals
• $200 monthly laundry reimbursement
• $200 monthly personal wellness reimbursement
• Free Equinox membership