AI Engineer Intern (Model & Product Evaluation)

Job Description

• Support in building and improving an evaluation algorithm that learns from past human decisions to assess the quality of new AI suggestions and identify when human review is required.
• Turn evaluation findings into testable hypotheses to improve an AI platform, such as its prompts, knowledge sources, decision logic, or model configuration, and run experiments to validate their impact.
• Drive failure case analyses, and evaluation reports to track improvements in quality over time.
• Work closely with CS leaders, ML engineers, product managers, and other stakeholders to translate reviewer feedback into prioritized experiments and system improvements.

Job Requirements

• Bachelor’s or Master’s student (final-year preferred) or recent graduate in Computer Science, AI, Mathematics, Data Science, Statistics, or a related field.
• Understanding of statistics, including agreement measures and sampling.
• Strong sensitivity to AI product experience, with the ability to clearly describe observed issues and their possible causes.
• Clear logical thinking, with the ability to organize large volumes of samples into reusable issue frameworks.
• Open-minded, agile, and proactive, with a strong willingness to learn.
• Basic ability to build quick working prototypes using AI coding tools such as Claude Code or Cursor; a portfolio or side project is a plus.