Intuit Machine Learning Engineer Interview Questions
6+ Intuit Machine Learning Engineer interview questions drawn from real candidate reports. Sources include 1Point3Acres, Blind, Glassdoor, Reddit, and LeetCode. Questions span every stage of the Intuit Machine Learning Engineer loop: OA, phone screen, system design, behavioral, and onsite coding.
What to Expect in the Intuit Machine Learning Engineer Interview
The Intuit 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.
Intuit Machine Learning Engineer Questions (Sample)
Intuit AI Scientist Technical Phone Screen - Weather Data Analysis Task
AI Science TPI: Weather Data Analysis You are given a dataset with temperature and precipitation data for a single city over a period of three years. The dataset has the following columns: • date — th
Intuit Technical round
My friend recently got this interview, A4A final interview process. 1. For the Craft Demo, working on the [Java/Python/Fullstack] repo from the Intuit GitHub. Curious — anyone who’s gone through this:
Intuit SDE-2 | Bangalore | Reject
YOE: 3.5 Current org: Startup I applied via referral for the SDE-2 opening, and then received the invite for online test. Round 1: Glider Test [90 mins] 5 MCQs around basic fundamentals and 1...
Intuit SDE 2 | Interview Experience | Selected
Online Test: \tMCQs on basic CS fundamentals, SQL, etc. \t2 Leetcode medium DSA questions: \t\t1. One was to find the maximum number with a given sum of digits and digit count. \t\t2. I don\u2019t...
BNY Mellon | SDE-1 (Fresher) | Pune/Chennai | August 2023 (Selected)
Company: BNY Mellon Status: Selected Qualification: B.E. Chemical Engineering 2024 Grad (Tier - 1) Position: Software Developer 1 Location: Pune/Chennai Date of offer: August 2023 Online Assessment - (DSA) - 2 hours Platform: Hackerrank This round had 4...
Intuit | 1-to-1 Technical | Senior Business Data Analyst | November 2021 | Mountain View
Interview with Intuit as Senior Business Data Analyst. 75 mins interview. First 40-45 mins technical and behavioral type questions. Started the interview with an introduction followed by the below questions. a)....
Difficulty Breakdown
3
easy
Based on 6 questions with difficulty labels from candidate reports.
Interview Rounds
Here is how the Intuit Machine Learning Engineer questions in the LeakCode database break down by interview round, based on what candidates reported:
| Round | Questions in Database |
|---|---|
| oa | 3 |
| phone screen | 1 |
| onsite | 1 |
| behavioral | 1 |
Most Common Topics
Question Recency
2
2025
2
2024
1
2023
Question counts by interview year, based on candidate-reported dates.
How to Prepare for the Intuit 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 Intuit Machine Learning Engineer questions are in the database?
6+ 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 Intuit 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 Intuit OA questions specifically?
Yes. The database includes online assessment questions tagged with round type. See the Intuit OA page for a dedicated view.
Related: Intuit All Questions · Intuit OA Questions · Browse All Companies · Data Sources