Cursor Machine Learning Engineer Interview Experience

Cursor · Senior

ResultWaiting

Timespan1 week

DifficultyMedium

Rounds2

Interview process

technicals were passable with some prep.

for onsite, it helps to be familiar with more exotic forms of pipeline parallelism

1
Technical round
1. Q1. implement variants of spec decode
2
Final / onsite round

Implement it with PyTorch in a codebase
1. Q1. implement variants of pipeline parallelism

standard transformer decode logic in pytorch for technical.

for onsite, read up on pipeline parallelism implementations, in particular ones that are more sophisticated, other than the standard gpipe.

onsite was more like a realistic project, was quite interesting

CompanyCursor

RoleMachine Learning Engineer

LevelSenior

LocationUnited States

InterviewedSep 2026

Questions asked2