Research Intern
Core
Conducting frontier research on post-training, reinforcement learning with verifiable rewards (RLVR), data generation, and model evaluation for large language models.
Role type
Research Scientist Intern (AI/ML)
Builds
Research artifacts, benchmarks, evaluation methodologies, and data pipelines for AI model training and assessment.
Domain
Artificial Intelligence / Machine Learning
Deliverable
research
Required skills
Python programming, experimental design, statistical analysis, machine learning fundamentals, model evaluation, RLVR techniques, agentic AI systems
Preferred skills
Post-training methods, reward modeling, benchmark development, research publications at top conferences
Technologies
Python, RLVR frameworks, LLM training tools
Responsibilities
Design and run controlled experiments to study dataset and reward effects on model performance; develop methods for measuring data quality and performance uplift; conduct systematic error analysis to identify failure modes; build research tooling and data pipelines; collaborate with scientists and domain experts; contribute to research publications and benchmark releases.
Seniority
Intern
