Difficulty
Average
Candidate-reported interview insights
Attentive Machine Learning Engineer interviews, decoded.
Explore commonly reported questions, interview rounds, difficulty, duration, and candidate experiences for the Machine Learning Engineer role at Attentive.
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Interview overview
Average rounds
3.4
Average duration
~44 days
Difficulty and candidate experience
Interview difficulty
easy0%
average80%
difficult20%
Candidate experience
neutral60%
positive20%
negative20%
Candidate-reported interview process
Started with leetcode and a deep dive into my past projects. Then had a final round with the manager and an ML system design question about predicting cab price and ETA. It was a good experience overall; they were really interested in the trade-offs and the reasoning behind my decisions.
Started with a recruiter screen covering ML fundamentals and project discussion. Then, a LeetCode hard supervised interview. Finally, a super day with three parts: building an ML solution, a system design whiteboard, and a leadership interview.
I spoke with the recruiter first, then had rounds with the hiring manager and system design. It was a pretty standard process, but I'm not sure why they didn't go with me. Good luck to everyone else.
Common Attentive Machine Learning Engineer interview questions
A focused selection of the most detailed candidate-submitted questions.
- 1
Build an ML system design for cab ETA and cost across USA
- 2
How would you build a solution to an ML problem?
- 3
Solve a LeetCode hard supervised problem.
- 4
Explain ML fundamentals.
Interview question formats
Technical31.2%
Coding25%
System Design25%
Behavioral18.8%
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Interview information is based on candidate reports and may not represent the current official hiring process of Attentive.