Scale AI·Machine Learning Engineer·Onsite - Coding / Algorithms
- Given a dataset, perform data preparation tasks as part of an ML coding assessment.
- Debug a provided ML code snippet and identify all bugs present.
“This part felt more manageable.”
Mid-sized
Most of these Scale AI write-ups come from Software Engineers (48), then Machine Learning Engineers (30) and Product Managers (1). The most reported rounds are the technical phone screen (45), the behavioral / leadership round (12), the system design round (10) and the hiring manager screen (3).
79 interview notes · updated Jul 2026
“This part felt more manageable.”
“The bug itself wasn't that hard once I actually ran the code and added some prints around the assignment loop.”
“This fits Scale pretty naturally given what they do, so I expected it, but I still fumbled the scoping a bit early on.”
“I knew this cold so it felt fine at first, but they kept pushing on the complexity angle.”
“I structured my answer as situation, action, result and it felt pretty solid in the moment, but looking back I spent way too long on the context and rushed the part about what I actually did to learn.”
“I went straight to a min-heap keyed on the deadline field and they seemed fine with that.”
“I structured my answer as situation, action, result and it felt pretty natural, but I spent too long on the backstory and rushed the actual resolution part.”
“The bugs themselves weren't that hard once I found them.”
“This question sprawled in a way I didn't anticipate.”
“The fix itself is small, like a one-line comparator flip, but I spent more time than I should've re-reading the surrounding code to make sure I wasn't missing some intentional design choice.”
Candidates most often report a technical phone screen (45 write-ups), a behavioral / leadership round (12), a system design round (10) and a hiring manager screen (3).
Across 45 technical phone screen write-ups, the most tagged question topics are Technical Trade-offs (53 questions), Algorithms & Data Structures (52) and System Design (31).
Across 12 behavioral / leadership write-ups, the most tagged question topics are Adaptability & Ambiguity (13 questions), Conflict Resolution (7) and Technical Trade-offs (7).