Scale AI New Grad ML Research Engineer Back-to-Back Onsite

The four rounds were back to back: coding, behavioral, debugging, and ML fundamentals with a paper discussion.

The coding round started with Shortest Distance Between Two Nodes. It had three parts. The input was a dictionary of dictionaries. The last part wasn’t included in the post.

The debugging round was Training Data And Model Error Debugging. It had three bugs. The usual debugging plugin wasn’t available, so they worked from the command line.

The last round covered ML fundamentals and questions about sections of a paper. They were rejected after the onsite.