Research Engineer Intern - Environments, Data and Post-Training

📋 Description

• Work on post-training and RLVR pipelines to understand how datasets, rewards, and training
• Design and run reward-shaping experiments and algorithmic improvements (e.g., GRPO, DAPO) to
• Quantify data usability, quality, and performance uplift on key benchmarks
• Build and maintain data generation and augmentation pipelines that scale with training needs
• Create and refine rubrics, evaluators, and scoring frameworks that guide training and evaluation
• Build and operate LLM evaluation systems, benchmarks, and metrics at scale

🎯 Requirements

• Strong applied research background, with a focus on post-training and/or model evaluation
• Strong coding proficiency and hands-on experience working with machine learning models
• Strong understanding of data structures, algorithms, backend systems, and core engineering
• Familiarity with APIs, SQL/NoSQL databases, and cloud platforms
• Ability to reason deeply about model behavior, experimental results, and data quality
• Excitement to work in person in San Francisco, five days a week (with optional remote Saturdays)

🎁 Benefits

• $1.5K monthly stipend for meals
• Free Equinox membership
• $200 monthly laundry reimbursement
• $200 monthly personal wellness reimbursement