Company
Walmart Labs interview questions
38 practice questions in the style of Walmart Labs's interviews, covering Software Engineering Fundamentals, Behavioral & Leadership, Coding & Algorithms, System Design, ML System Design, Machine Learning, Statistics & Math.
9 easy23 medium6 hard
Walmart Labs interview questions by the numbers
Last updated
Katkat has 38 Walmart Labs interview questions. The largest topics are Coding & Algorithms (42%), System Design (18%) and Behavioral & Leadership (13%). By difficulty: 24% easy, 61% medium and 16% hard. The most common round is Technical Screen (47%). Frequent concepts include Algorithms, System Design, Combinatorics and Data Structures.
Topics
- Coding & Algorithms42% · 16
- System Design18% · 7
- Behavioral & Leadership13% · 5
- ML System Design8% · 3
- Machine Learning5% · 2
- Statistics & Math3% · 1
Difficulty
- Easy24% · 9
- Medium61% · 23
- Hard16% · 6
Interview rounds
- Technical Screen47% · 18
- Onsite45% · 17
- Online Assessment8% · 3
Roles
- Software Engineer74% · 28
- Machine Learning Engineer16% · 6
- Data Scientist11% · 4
Frequent concepts
- Algorithms16% · 6
- System Design16% · 6
- Combinatorics5% · 2
- Data Structures5% · 2
- Hash Map5% · 2
- intervals5% · 2
Most mentioned in interview experiences
- 1.Implement lexicographically smallest Two Sum2 reports
- 2.Answer leadership scenarios about influence and integrity1 report
- 3.Assess Cultural Fit in Informal Hiring Conversations1 report
- 4.Design a Read- and Write-Heavy Product Catalog Service1 report
- 5.Design an Agentic Search Experience1 report
- 6.Implement a Range Module with Add, Query, and Remove1 report
- 7.Resolve Technical Conflict and Align Across Teams1 report
- 8.Shortest Talent-Covering Team Starting At Each Index1 report
Counted from 7 candidate interview experiences on Katkat. How we collect and count
Showing 31–38 of 38 results
A coding problem that asks for the largest total obtainable from a row of non-negative values when no two chosen positions may be adjacent. It tests reasoning about take-or-skip choices, edge cases such as empty and single-element rows, and a solution fast enough for rows of up to 100,000 values.
Walmart LabsSoftware EngineerCoding & AlgorithmsOnline AssessmentThis problem tests your ability to use greedy strategies or dynamic programming to satisfy coverage constraints while minimizing total costs from a set of available items.
Walmart LabsSoftware EngineerCoding & AlgorithmsOnline AssessmentFind a path in a weighted undirected graph that minimizes its largest edge rather than the sum of weights. Handle parallel edges, disconnected vertices, and the start-equals-target case efficiently at large graph scale.
Walmart LabsSoftware EngineerCoding & AlgorithmsOnline AssessmentThis interview question evaluates core ML concepts, assumptions, math intuition, training/evaluation trade-offs, and practical failure modes in a realistic interview setting. A strong answer for Predict Next-Period Conversion Rate Using Historical Campaign Data states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Walmart LabsData ScientistMachine LearningOnsiteFor each position of an integer array, compute the product of all the other elements in linear time and without using division. It tests careful handling of zeros, negative values and repeated values, and planning a single efficient pass when the obvious division shortcut is not allowed.
Walmart LabsSoftware EngineerCoding & AlgorithmsOnsitePractice explaining technical conflict, cross-team priorities, decision ownership, dissent, and the follow-through that turns agreement into working alignment.
Walmart LabsMachine Learning EngineerBehavioral & LeadershipOnsitePractice a sliding-window coding question where each start index needs the shortest contiguous team containing every talent type. This prompt targets hash map counts, two-pointer window management, and O(n) reasoning for large arrays.
Walmart LabsSoftware EngineerCoding & AlgorithmsTechnical ScreenThis interview question evaluates statistical assumptions, formulas, estimation strategy, uncertainty, edge cases, and interpretation in a realistic interview setting. A strong answer for Understand Propensity Score Matching in Business Analytics states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Walmart LabsData ScientistStatistics & MathOnsite
Walmart Labs interview experiences
All 12 →- A Surprise Agentic Search Design RoundWalmart Labs · Machine Learning Engineer · Senior+ · Onsite · Oct 2026
Sharing a data point. I mainly used this as a warm-up and for practice, and I pretty much didn't plan to join. This position was entirely team-specific hiring, so it could vary a lot case by case. The logistics were quite chaotic, but the conversations themselves were a pretty good experience. The first round was with the hiring manager: a casual half-hour conversation about project experience an…
- A Disorganized Onsite Hiring EventWalmart Labs · Software Engineer · Onsite · Jul 2026
Actually, this is just me venting... First, the onsite is called a "hiring event," and there were about a dozen people there. After checking in, we even had to walk back to the car to put up the parking permit — pretty chaotic. The hiring manager for the BQ round was 15 minutes late! If they hadn't shown up soon, I was ready to pack up and leave. The conversation itself was pretty mediocre — not…
- A Hard Interval Problem I Blanked On in the Phone ScreenWalmart Labs · Software Engineer · Technical Screen · Jul 2026Rejected
The interview had two interviewers who came on together. They said they were hiring for different teams, so both of them figured they'd sit in and take a look. The original problem turned out to be an exact match for one I recognized by name, word for word — but I had actually never gone through and solved it myself before. My approach wasn't too far off: try to store the interval information, th…
- Walmart Data Scientist interview with supply-chain time series and a missed follow-upWalmart Labs · Data Scientist · Technical Screen · Jul 2026Rejected
The process felt unusually intense and a little chaotic from the start. After an initial technical screen, I had a supply-chain technical round with several interviewers. It covered SQL, Python, statistics, including a probability question, and deeper machine-learning model details. The session lasted about 1.5 hours and focused heavily on time-series modeling. It was hard to follow every prompt…
- Walmart Labs Account Executive interview: next-day callWalmart Labs · Account Executive · Other · Jul 2026Offer
After applying, I met in person with two people at the store, a sales manager and a lead cashier. It was a quick, low-stress conversation about ordinary role fit. They asked the usual questions about me, why I wanted to work there, when I could start, my availability, and whether I could handle the schedule. I also had time to ask questions. It felt more like checking whether I would be comfortab…
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