Meta Machine Learning Engineer Interview Questions
117+ Meta Machine Learning Engineer interview questions drawn from real candidate reports. Sources include 1Point3Acres, Blind, Glassdoor, Reddit, and LeetCode. Questions span every stage of the Meta Machine Learning Engineer loop: OA, phone screen, system design, behavioral, and onsite coding.
What to Expect in the Meta Machine Learning Engineer Interview
The Meta Machine Learning Engineer interview process typically runs 4 to 6 rounds depending on seniority level. Based on candidate reports in the LeakCode database, the loop usually includes a resume review, an online assessment or coding phone screen, one or more technical rounds, a system design round (for senior and above), and a behavioral or values round.
Difficulty skews toward medium and hard LeetCode-style problems in the coding rounds. System design questions test breadth (component selection, scaling, trade-off reasoning) more than deep implementation. Behavioral questions are tied to the company's stated values and principles.
Meta Machine Learning Engineer Questions (Sample)
META MLS Full loop interview in 1 week.
I have my coding and AI coding interview in 1 week. Can sommeone suggest best schhedule to follow in thiis last one week.. Assume I do not have much leet code experience, but would be spending hours n
[Meta] ML Research Scientist Interview Experience (New "Coding with AI" Round included) - Detailed Timeline, Questions & Mistakes (Rejected)
First off, I want to say thank you to this community. I am writing this to give back, as I read so many posts here during my preparation that helped me navigate the process. I didn't get the offer, bu
Meta SWE Full Loop Coming Up (Coding + AI Coding + System Design) – Best Resources to Prepare?
Hey everyone, I have a Meta full loop interview coming up soon for SWE, and the rounds are: • 1 Coding • 1 AI Coding • 1 System Design I’m trying to prepare efficiently and would really appreciate gui
Leetcode is cooked in 2026 and we don't hire people who only grind leetcode.
Edit: yo im not saying NOT to do leetcode, I'm saying don't spend 80% effort on lc and 20% on everything else... About 2 years ago, I got in big tech and thought i've made it. I'm 2400 rating on lc, b
Meta Software Enigneer - Initial Prescreen stage timeline
I recently interviewed for a Production Engineer (University Grad) role. After I was moved to the initial prescreen stage, I submitted the questionnaire within a couple of days and received an invitat
Meta Research Scientist ML 2026
Hi. I am currently in the process of online assessments. Any advice for the online assessments? The online assessment for coding is under CodeSignal Assessment.
Need help to crack META AI Coding round
Hi, I have an upcoming META AI coding round in a month for an ML Engineering manager role. Last I coded was 3 years ago and my coding has been very brute force since I dont come from traditional CS ba
meta machine learning onsite interview experience and hiring update
target 6，电面的时候还是behavior+两道lc，当时还问面试官听说你们要裁员，我的职位会不会被影响，面试官说他也不知道，但一般hiring freeze只会锁junior的，像我面6的话而且是mle应该不受影响。后来排onsite前跟recruiter电话准备onsite我又问了她这个事情，她还信誓旦旦跟我说ml ai这些岗位肯定不会受影响 onsite全是ai coding 第一轮coding两个烙印 工作台不同工序做饭 做出4问好像还有第五问 具体有点不太记得了 反正没感觉自己干了什么 也没写几行代码 都ai搞了 第二轮coding两个亚女 maze 感觉面试官都在学习这种新面试，让你用ai也不是，不让用也不是，为了让他们能在feedback上有东西写，我都是先把我的算法描述清楚再用ai，中间还被claude limit了只能临时换gpt，他们的codepad也在改进，第一轮没有cc，第二轮cc codex都有了 第一轮design event recs，问的很细，包括模型架构具体怎么实现 第二轮design 武器广告...
Meta Machine Learning Fulltime Onsite Interview Experience
Screening: 衣貳酒: Yuandi + follow-up: Do not change the input 樲咡漆: Yuandi + follow-up: Do not use global variable Onsite: The following content requires a score higher than 150. You can already view it.
Meta Machine Learning Engineer Fulltime Tech Phone Screen Interview Experience
This post was last edited by yah007 on 2025-9-30 19:30 Coding: First Question: LeetCode Yi Si Si Bar Second Question: Similar to LeetCode Yi Ling Ling Si VO: Coding Round 1: LeetCode: Qi Er Yi Er, Sim
Meta Machine Learning Onsite Interview Experience and ML Design Discussion
Coding: Thirdly, Uncle, one two one, one two three ML Design: Predict whether current users will attend Facebook events Please give me some points, and I'd like to see interview experiences~
Meta AI Coding Interview Format for Machine Learning Engineer Onsite
I recently confirmed that the latest meta-onsite process has removed the LeetCode round and added an AI coding round. The recruiter said it's too new and there's no feedback, but after confirming seve
Meta E4 Full Loop | Pass & Offer accepted
I completed the Meta E4 Full Loop for Software Engineer, Machine Learning and received an offer. Here you have the process: Phone screen - Coding challenge. Two medium questions from Leetcode Top...
Meta MLE E4/E5 Phone screening | Passed to Full loop
Helping the community Q1. Implement cd. Given current working directory and argument move to final path E.g. cwd - /a/b/c arg - d Output - /a/b/c/d Missed one case while explaining the...
Meta E6 ML Screen | Probable reject
15 min behavioural: Working with cross functional team. Conflict resolution. Coding 339. No variant https://leetcode.com/problems/nested-list-weight-sum/ 528. Variant https://leetcode.com/problems/random-pick-with-weight Gave correct solutions to code but messed up time complexity on the first and forgot...
Difficulty Breakdown
31
easy
18
hard
3
medium
1
0
Based on 117 questions with difficulty labels from candidate reports.
Interview Rounds
Here is how the Meta Machine Learning Engineer questions in the LeakCode database break down by interview round, based on what candidates reported:
| Round | Questions in Database |
|---|---|
| phone screen | 48 |
| recruiter | 24 |
| system design | 15 |
| oa | 11 |
| onsite | 8 |
| behavioral | 2 |
Most Common Topics
Question Recency
8
2026
18
2025
28
2024
4
2023
Question counts by interview year, based on candidate-reported dates.
How to Prepare for the Meta Machine Learning Engineer Interview
Use the LeakCode question database as your primary research tool. Filter by role (Machine Learning Engineer), then by round type to focus your prep on the specific stages in your upcoming loop. Sort by recency to see what 2026 candidates actually faced.
- Start with questions from the last 12 months. Interview processes change and recent data is the strongest signal.
- Cross-reference questions that appear in multiple sources (1p3a, Blind, Glassdoor). Multi-source confirmation means a question has stronger recurrence probability.
- For system design rounds: focus on the question patterns, not individual questions. The same design principles recur across many prompts.
- For behavioral rounds: map your experiences to the company's stated values before the interview. Most behavioral questions at top companies are derivatives of a small set of core leadership competencies.
FAQ
How many Meta Machine Learning Engineer questions are in the database?
117+ questions from verified candidate reports. The count grows as new reports are scraped daily from 1Point3Acres, Blind, Glassdoor, Reddit, and LeetCode.
Are these questions from real Meta interviews?
Yes. All questions are sourced from actual candidate interview reports, not generated by AI. Each entry links back to its source URL where available, and questions are tagged with the year and round reported by the candidate.
How current is this data?
LeakCode updates daily. The database is filtered to exclude duplicate and low-quality entries. You can filter by interview year to focus on recent cycles.
Does LeakCode cover Meta OA questions specifically?
Yes. The database includes online assessment questions tagged with round type. See the Meta OA page for a dedicated view.
Related: Meta All Questions · Meta OA Questions · Browse All Companies · Data Sources