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DevRev Machine Learning Engineer Interview Questions
& Process

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

Based on 7 interview experiences · FREE TO READ

4.4 Rounds average
Average Typical difficulty
100% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at DevRev.

Showing 3 of 7
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DevRev

Applied AI Engineer

Engineering · a year ago

Mid Average Positive experience Accept offer 4 rounds
Interview process
Technical screen Technical screen Technical screen Background check
Interview formats
Coding Technical Behavioral

The interview process at DevRev was great. There were 4 rounds in total. The first round was of medium difficulty and included 2 coding questions and one SQL query. Candidates who passed this stage moved on to the next rounds: the second round was the first technical interview, the third round was the second technical interview, and the last round was the cultural fitment round. The interviewers were awesome, calm, and very knowledgeable. The questions covered a range of difficulties from easy to difficult and touched on all technical topics like DSA, development, core subjects, etc.

Confirmed questions1 question
  • Do you prefer working alone or with a team, and what's your reasoning?
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DevRev

Applied AI Engineer

Engineering · a year ago

Intern Average Positive experience Accept offer 4 rounds
Interview process
Take home Technical screen Technical screen Panel
Interview formats
Coding Technical Behavioral

This was an on-campus opportunity and the whole thing took about 3-4 weeks. The interview process had 4 rounds: Online Assessment, Technical Round 1, Technical Round 2, and a Cultural Fit Round. It was pretty smooth but challenging. They really wanted to see how I thought about problems. The online assessment had 2 DSA and 1 SQL question, and they were pretty easy to medium difficulty. All the interviews started with introductions to help everyone relax. The interviewers were nice and made me feel comfortable. The first technical round covered SQL, DBMS, and computer networks, then we did 3 DSA questions. It lasted about an hour. The second technical round was tougher, with questions about APIs and then 2 medium-to-hard DSA questions. The final round was non-technical, focused on how I'd handle situations and on the company's values and culture.

Confirmed questions2 questions
  • How would you deal with disagreements with your team members?
  • Do you prefer working in a team or by yourself?
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DevRev

Applied AI Engineer

Engineering

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

Applied through the company website and the whole process took about 2 to 3 weeks. Started with a CodeSignal assessment which had 2 coding questions. Then, I had two technical interviews. The first one focused on basic Data Structures and Algorithms (DSA) and discussed my resume. The second technical interview involved working with APIs and more complex DSA problems. Finally, there was an HR discussion.

Confirmed questions1 question
  • Could you implement a fetch operation for an API endpoint and then display the fetched content in a specific text format?

DevRev Machine Learning Engineer Interview Questions

Quoted word for word from DevRev interview reports.

Could you implement a fetch operation for an API endpoint and then display the fetched content in a specific text format?

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What are some key JavaScript concepts you're familiar with?

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Tell me about your understanding of fundamental JavaScript concepts.

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How would you approach writing SQL queries for specific scenarios?

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Do you have experience with Data Structures and Algorithms (DSA)?

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Do you prefer working alone or with a team, and what's your reasoning?

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How would you deal with disagreements with your team members?

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Formats, difficulty and experience

Across all 7 DevRev interview reports.

Interview formats

Technical 43.5%
Coding 26.1%
Behavioral 26.1%
Other 4.3%

Interview difficulty

Easy 0%
Average 85.7%
Difficult 14.3%

Candidate experience

Positive 100%