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Lendbuzz Machine Learning Engineer Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 8 interview experiences · FREE TO READ

2.5 Rounds average
Average Typical difficulty
50% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Lendbuzz.

Showing 3 of 8
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Machine Learning Engineer

Engineering · nearly a year ago

Entry Average Negative experience No offer 4 rounds
Interview process
Recruiter call Phone screen Technical screen
Interview formats
Behavioral Technical Coding Coding

So I had 4 interviews in total, and 3 of them were basically testing the same thing. Classic startup move. The first was with the recruiter, which was standard. We chatted about my background, if I knew about the company, and why I was interested. The second interview was also pretty standard: a technical interview with a medium Leetcode problem and some SQL questions. Then they set up a third interview. The recruiter told me it would be about ML concepts and probability, but it turned out to be another python coding test. After that, they scheduled a fourth interview, saying it would be about analytical concepts. Surprise! It was actually a third python coding test. They never actually tested my ML knowledge, which makes sense because it seemed like a Data Analyst role pretending to be an ML Engineer role, and the pay was pretty bad for an 8-month commitment. Doesn't seem like they offer return positions either. This whole process was a major time sink during my midterms because I prepped for what they said they'd test, but they kept throwing curveballs. Honestly, I wouldn't have taken the job even if they offered it because I saw too many red flags with the team and the company. Watch out for startups, they tend to be like this!

Confirmed questions3 questions
  • LC 22 and basic SQL questions were asked.
  • How to efficiently parse through JSON data?
  • Can you retrieve the total cost (fees - discounts) from string data using regex?
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Lendbuzz

Machine Learning Engineer

Engineering · a year ago

Mid Average Positive experience No offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Behavioral Coding Technical

First, you'll likely have a phone or video chat with a recruiter. They'll go over your background, why you're interested in this job, and if you're a good match. They might ask about your past work, what you want in your career, and if your salary and timing expectations fit what they're offering. For technical jobs, you'll probably have to do a coding test, a case study, or some kind of technical check to show what you can do. This usually means solving problems with data structures, algorithms, or general problem-solving, often on sites like HackerRank or CodeSignal.

Confirmed questions1 question
  • Can you elaborate on basic Python questions, like working with dictionaries?
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Lendbuzz

Machine Learning Engineer

Engineering

Mid Average Negative experience No offer 1 round
Interview process
Recruiter call Technical screen
Interview formats
Technical Coding

Had an initial screening call. The interviewer jumped straight into LeetCode questions, specifically Max Subarray and Contains Duplicate. The server failed, so I couldn't see the output. Even though I answered all the MLE-related questions, the interview felt really unprofessional. They started asking random questions about news and people, if I knew them, and seemed to judge me based on that too. Super unprofessional!

Confirmed questions5 questions
  • Maximum Subarray LC question on coderpad
  • Contains Duplicate LC question on coderpad
  • working of neural networks

Lendbuzz Machine Learning Engineer Interview Questions

Quoted word for word from Lendbuzz interview reports.

Find duplicate adjacent characters in a string and remove them, outputting the resulting string.

Read reports

Can you retrieve the total cost (fees - discounts) from string data using regex?

Read reports

Can you explain the fundamentals of deep neural networks?

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Can you elaborate on basic Python questions, like working with dictionaries?

Read report

Formats, difficulty and experience

Across all 8 Lendbuzz interview reports.

Interview formats

Technical 40%
Coding 40%
Behavioral 15%
System Design 5%

Interview difficulty

Easy 12.5%
Average 87.5%
Difficult 0%

Candidate experience

Negative 25%
Positive 50%
Neutral 25%