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10 Yelp Software Engineer (New Grad) Interview Questions (2026)

Yelp's new-grad SWE loop in 2026 is a recruiter screen, an online coding assessment, a technical phone screen, and a 4-round virtual onsite covering coding, system fundamentals, behavioral, and team match. Yelp is a local business discovery platform; search, ranking, and review-trust questions show up.

By Sam K., Founder, InterviewChamp.AI · Last verified

Loop overview

New-grad candidates report a 4-7 week timeline in 2026. Online assessment (2 problems, ~75 minutes), then a 1-hour phone screen. Onsite: two coding rounds, one system fundamentals round, one behavioral. Stack is Python heavy on backend, JavaScript/TypeScript (React) on frontend.

Behavioral (4)

Tell me about a time you contributed to a community.

Frequently asked

Outline

STAR. Yelp is a community-driven product. Pick a real moment — open source, school, neighborhood, online community. Show your contribution and the impact.

Reported by candidates on Glassdoor (not independently verified)

Why Yelp?

Frequently asked

Outline

Tie to local discovery, the review community, or a specific Yelp product (Yelp for Business, Yelp Reservations). Mention if you have used Yelp to find a business and what worked or didn't. Be honest.

Reported by candidates on Glassdoor (not independently verified)

Describe a time you advocated for a user.

Frequently asked

Outline

STAR. Yelp serves both consumers and business owners. Pick a real moment when user advocacy drove your work. Show specific user feedback that changed your decisions.

Reported by candidates on Glassdoor (not independently verified)

Tell me about a time you balanced multiple stakeholders.

Frequently asked

Outline

STAR. Yelp balances consumers and businesses — their interests sometimes conflict. Pick a real moment of balancing competing interests. Show your reasoning and outcome.

Reported by candidates on Glassdoor (not independently verified)

Coding (LeetCode patterns) (3)

Given a list of reviews with star ratings, return the average rating per business.

Frequently asked

Outline

Hash map business_id → (sum, count). Final pass to compute average. O(N) time. Edge cases: businesses with no reviews, weighted by recency (extension).

Reported by candidates on Reddit (not independently verified)

Given a string, find all valid words from a dictionary that can be formed by deleting characters.

Occasionally asked

Outline

For each dictionary word, check if it's a subsequence of the input (two-pointer walk). Return valid ones, sorted by length descending and alphabetically. O(D * (S + W)) where D is dict size.

Reported by candidates on Reddit (not independently verified)

Given a binary tree representing categories (Restaurants > Italian > Pizza), find all leaf categories.

Occasionally asked

Outline

DFS, collect nodes with no children. O(N) time, O(H) recursion. Walk through with a small tree. Variant: filter by depth or path prefix.

Reported by candidates on Reddit (not independently verified)

Technical (3)

Given a list of businesses with lat/lon, return all within a given radius of a query point.

Frequently asked

Outline

Naive: compute distance to each, filter. O(N). Better: spatial index (grid bucketing, geohash, R-tree). Discuss the tradeoff: grid is simple but uneven distribution; R-tree handles unevenness. Yelp does this at every search.

Reported by candidates on Glassdoor (not independently verified)

Implement a function that detects suspicious review patterns (e.g., 10 reviews from the same user within 1 hour).

Frequently asked

Outline

Group reviews by user, sort by time. For each user, sliding window: count in last 60 min, flag if > threshold. Discuss content-based signals (duplicate text), IP signals, and graph signals (review rings). Real fraud-detection problem.

Reported by candidates on Levels.fyi (not independently verified)

Implement a search ranking: given a query, return the top N businesses by relevance.

Occasionally asked

Outline

Concept-level. Score each business: text match + popularity (review count, rating) + distance + business-pays signal. Use heap for top N. Discuss BM25-style scoring vs simple overlap and the relevance-vs-revenue tradeoff. Yelp's actual search.

Reported by candidates on Glassdoor (not independently verified)

Yelp interview tips

  • Yelp is geospatial + reviews. Brush up on spatial indexing, distance calculations, and ranking algorithms.
  • Behavioral rounds value community focus and user advocacy.
  • Stack is Python heavy on backend. Coding rounds are language-agnostic.
  • Yelp engineering blog has solid content on search and infrastructure. Read one before the loop.
  • Compensation per Levels.fyi 2026 is mid-tier for San Francisco new-grad. Equity has 4-year vest with 1-year cliff.

Frequently asked questions

How long is Yelp's SWE new-grad interview process in 2026?

Most reports show 4-7 weeks from recruiter outreach to offer.

Does Yelp ask system design for new-grad SWE?

Light system fundamentals appear (geo-search, review ranking). Full distributed-systems is for mid-level and above.

What language should I use for Yelp interviews?

Whichever you know best. Python, JavaScript/TypeScript, Java, Go are all accepted. Yelp's stack is Python-heavy.

Is Yelp remote-friendly for new-grad?

Yelp operates a remote-first model with hub flexibility. Confirm specifics with your recruiter.

Does Yelp sponsor visas for new-grad SWE?

Yelp has sponsored H-1B and OPT in past US cycles. Confirm with your recruiter for 2026.

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