Candidates applying for Machine Learning Engineer roles take an average of 7 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Apple overall takes an average of 33 days.
Common stages of the interview process at Apple as a Machine Learning Engineer according to 1 Glassdoor interviews include:
Phone interview: 100%
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The entire process stretched over three weeks, which felt a bit longer than I had anticipated. It kicked off with a technical phone screen where I tackled a binary tree traversal question. The next round involved implementing masked multi-head self-attention for a transformer, which I had worked through on PracHub in preparation. The final stage was a system design question comparing DCN v1 and v2, followed by a discussion on A/B testing. Overall, the experience was straightforward, and I was pleased to receive an offer, which I happily accepted.
Interview questions [3]
Question 1
Implement masked multi-head self-attention for a transformer from scratch
I applied online. I interviewed at Apple (Austin, TX) in Mar 2026
Interview
It was a 5 rounds of the interview. Interviewers were very polite and helpful. The questions were not too tricky. Leetcode part was easier than I thought. Focused more on basics.
An HR reached out and scheduled a BQ round immediately, talked to the hiring manager and focused on my resume in detail, then after that leetcode round and ml round