Google Machine Learning Engineer Interview Questions
59+ Google Machine Learning Engineer interview questions drawn from real candidate reports. Sources include 1Point3Acres, Blind, Glassdoor, Reddit, and LeetCode. Questions span every stage of the Google Machine Learning Engineer loop: OA, phone screen, system design, behavioral, and onsite coding.
What to Expect in the Google Machine Learning Engineer Interview
The Google 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.
Google Machine Learning Engineer Questions (Sample)
Mechanize Inc - Screen Call
Normally I don't ever post shit but this interview was lowkey hilarious and annoying simultaneously. Enjoy the popcorn. Hopefully, someone will beat the interview process with this. Call: 1. they brie
What is asked in Google AI/ML interview round? [L5, Cleared the coding rounds]
* Location: US * Based on interview timing, interviewer may be from UK/EU/US. * Level: L5 * Status: Cleared 3 coding rounds. Recruiter informed all are strong hire rating. (finally) This is my 3rd att
Google Offer Timeline
Hi everyone, saw there weren't many posts about Google interview timelines. Throughout my interview process I wished there were more timelines so I could refer to them and get an estimate on how long
For those who already have a CS degree did Coursera professional certificates actually help your job search?
I have a degree in Communication & Computer Engineering (GPA 3.66) and experience as a full-stack developer. I've most recently been a technical content writer focusing on AI/ML (especially on RAG
Got a JD asking for 12+ years in a technology that launched a year ago
job searching right now and the JDs are getting wild. got one today for a “data science analyst” role that wants 12+ years experience in agentic layer A2A frameworks and MCP protocol. google launched
Interview Prep for Google Software Engineer, AI/ML (Kirkland or Sunnyvale)
Hi everyone! Has anyone interviewed for Software Engineer, AI/ML (Sunnyvale/Kirkland) position at Google? I recently got an email saying they are moving forward for following interviews: AI Depth \[Te
Got 2 team match rejections for Google DS Internship, is it experience gap?
Feeling a bit discouraged and wanted to sanity-check with others who’ve gone through this. I’m a Masters student at a target school, with a few solid DS/ML internships but no full-time experience yet.
What is asked in Google AI/ML interview round? [L5, UK based interviewer]
* Location: US * Based on interview timing, interviewer may be from UK/EU. * Level: L5 * Status so far: Cleared 3 coding rounds. Recruiter informed all are positive rating. (finally) This is my 3rd at
google fulltime machine learning online assessment and timeline
TLDR: 做道德标兵并保持人设 总共分两个部分： part 1 你是谁: 在从三个 statement 里面选出一个作为 “most like me”，并在剩余的两个里选出 “least like me”。个人觉得part1 的所有的statement 分别代表了三种人设： 靠谱人设：办事很讲究deliverable timeline, 说办的事会尽自己最大努力办好 合作人设：很乐于和不同的人和组合作 沟通人设：讲话会reflect on other people's reaction, 会字斟句酌并改进自己的沟通 part 2 你怎么做: 给出一个情景和人物设定，你会怎么做，选出你最有可能做的和最没可能做的。这一part十分简单，因为很明显有一个是最合法合规的做法，其余的做法都有点灰色地带和徇私枉法的感觉。 part1 三种人设其实各有优势，只是换着法子说不同的statement，建议在一开始做出选择之后，简单写一下自己选了哪种人设，在后续的选项里保持 consistency。 Timeline: 提交后第二天收到p...
[Guide] Cleared Meta E5 + Other FAANG Interviews. My Process & Resources
I cleared Meta (E5) and got the max offer with not even 6 yoe. I also passed onsites with Apple (ICT4), Palantir and a hedge fund. I think the interview pipeline is ~75% in your control once you get i
The year I spent failing my way to Google L5
TLDR: Exactly one year ago, my journey began with a Google rejection. After being ghosted by Uber and seeing a Meta offer vanish due to a policy change, I finally got the Google L5 offer last week. Th
[Officially Live] Meta’s New AI-enabled Coding Round: What I’ve Learned So Far
Meta just rolled out a new AI-enabled coding round that replaces one of the traditional onsite coding rounds (two LeetCode-style problems in 35 mins). Instead of classic meta-tagged algo problems and
Interview Questions for GenAI SDE 3
What kind of question we can expect here ? The interviewer told that round will be on - \[AI Design, ML Core, Model Training\] with a GenAI Manager. Hence, I think it'll not be a purely ML Design roun
Google PhD SWE (ML) reject
Bar must be high I guess. First post of this kind, please be gentle lol. Preparation: Neetcode 150, Jeff H. Sipe. Was comfortable with bfs, dfs, and from this sub/ mock interviews (both google officia
Nailed Research Scientist PhD Interview ML/AI at Meta, rejected few days later
Hi guys, I am just looking to see if anyone has any thoughts on the interview process for Research Scientist positions at meta. For context, I am a 5th year PhD candidate in Biostatistics and have bee
Difficulty Breakdown
27
easy
10
hard
2
medium
1
0
Based on 59 questions with difficulty labels from candidate reports.
Interview Rounds
Here is how the Google Machine Learning Engineer questions in the LeakCode database break down by interview round, based on what candidates reported:
| Round | Questions in Database |
|---|---|
| recruiter | 22 |
| phone screen | 10 |
| oa | 10 |
| system design | 7 |
| take home | 2 |
| onsite | 2 |
Most Common Topics
Question Recency
9
2026
8
2025
7
2024
11
2022
Question counts by interview year, based on candidate-reported dates.
How to Prepare for the Google 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 Google Machine Learning Engineer questions are in the database?
59+ 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 Google 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 Google OA questions specifically?
Yes. The database includes online assessment questions tagged with round type. See the Google OA page for a dedicated view.
Related: Google All Questions · Google OA Questions · Browse All Companies · Data Sources