Research and Product Integration Questions

Design and evaluation of research that balances academic rigor with real world product constraints. Topics include choosing evaluation metrics that align to user value, handling limited or biased data, respecting privacy and safety constraints, trading off model quality against computational and latency budgets, planning deployment and rollback strategies, and integrating offline research with online validation. Candidates should explain how production realities shape experimental design, evaluation protocols, and methodological trade offs.