Meta E5 MLE interview loop (Oct 2024)

I recently completed my virtual onsite interview for an E5 Machine Learning Engineer (MLE) position at Meta. I'd like to share my experience to benefit others.

Timeline:

• Referral submitted: August 3rd week
• Screening round: September 3rd week
• Onsite (4 rounds - 2 coding, 1 ML system design, 1 behavioral): October 3rd week
• Onsite (1 extra coding round): October last week (pending)

Screening Round:

• Two questions: one easy, one medium. I struggled with a corner case in the medium question due to interview jitters, but otherwise performed well.

Onsite Rounds:

• Coding 1: One easy, one medium question.
• Coding 2: Two relatively easy medium questions.
• ML System Design: A standard ML system design question. I recommend reviewing resources on this topic.
• Behavioral: Standard questions assessing scope, ambiguity, and cross-functional communication. I recommend reviewing resources on how to answer these questions for senior roles.

For coding preparation, I focused on the top 100 Meta-tagged easy/medium questions from the past 30 days. While not identical, these questions provided valuable practice.

I'm unsure if my final coding round is mandatory. I will update this post if I'm contacted for it. I will also update the timeline once I receive feedback from the recruiter. Good luck to everyone!