Snorkel AI·Software Engineer·Technical Phone Screen
Apr 2026
Prepping for a Snorkel AI Forward Deployed Engineer technical screen and trying to figure out what to expect. The format is unusual: no LeetCode, just a client brief plus model outputs and ground truth data, and you have 60 minutes to evaluate and present findings. Still pending the actual interview.
- Given a client brief, a ground truth CSV, and a set of model outputs, how do you decide what metrics to use and write code to evaluate the model against ground truth within a tight time limit?
- After running your evaluation, how do you identify and categorize error patterns in the model outputs?
- How would you present technical model evaluation findings to a non-technical client stakeholder in an interview setting?
“My instinct is to lock in one baseline metric fast, like within the first 20 minutes, and then spend the rest slicing the data for error patterns.”