Applied via referral.
Quick recruiter screen – mostly background, team size, ML systems, and leadership scope. Followed by a prep call outlining the process.
First real round was with an EM – a mix of people leadership (managing ICs, handling low performance, 1:1s) and light system design (mine was on scaling recsys infra).
Onsite had 5 rounds:
Prepped with LC, ML systems, and a couple Prepfully mocks – super useful for retros and design rounds. Got the offer.
Would say: focus on showing balanced depth across tech, leadership, and execution.
Experience with model selection, training, evaluation, and tuning.
How do you handle overfitting and underfitting?
The following metrics were computed from 1 interview experience for the Meta ML Engineering Manager role in Menlo Park, California.
Meta's interview process for their ML Engineering Manager roles in Menlo Park, California is incredibly easy as the vast majority of engineers get an offer after going through it.
Candidates reported having very good feelings for Meta's ML Engineering Manager interview process in Menlo Park, California.