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Kodiak AI Computer Vision 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

2.3 Rounds average
Average Typical difficulty
57.1% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Kodiak AI.

Showing 3 of 7
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Kodiak AI

Computer Vision Intern

Engineering · a year ago

Intern Average Positive experience No offer 2 rounds
Interview process
Phone screen Technical screen
Interview formats
Technical Coding

Had a phone screen, followed by a one-hour technical interview focused on machine learning coding questions. The interviewers gave good guidance and were really easy to talk to and approachable, making it a positive experience overall.

Confirmed questions1 question
  • Were you asked about machine learning?
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Kodiak AI

Perception Engineer

Engineering · more than a year ago

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

So, first I had this phone call with HR, it lasted about half an hour. It was pretty standard stuff, just getting the basics. Then, I jumped on an online call with a senior engineer. That one went for about 45 minutes. They asked me some stuff about probability and signal processing, then threw in some riddles and puzzles.

Confirmed questions2 questions
  • If two random variables are uniformly distributed over the same range, what is the probability density function of their sum?
  • What is the resulting probability density function when you sum 'n' uniformly distributed random variables? And what occurs as 'n' approaches infinity?
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Kodiak AI

Computer Vision Intern

Engineering

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

They had 4 rounds in total. First was a Recruiter screen, then a take home assessment which was a computer vision task. After that there were 2 rounds of Technical Interviews. The recruiter asked about my background and future plans. The take home assessment involved an object detection and multi class classification task. The first technical round was with an engineer, and the last round was supposed to be with their AI lead, but I didn't make it to that one.

Confirmed questions1 question
  • Can you tell me about your plans after graduation?

Kodiak AI Computer Vision Engineer Interview Questions

Quoted word for word from Kodiak AI interview reports.

If two random variables are uniformly distributed over the same range, what is the probability density function of their sum?

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What is the resulting probability density function when you sum 'n' uniformly distributed random variables? And what occurs as 'n' approaches infinity?

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Regarding real-time lane detection and environment sensing, what type of model would you select for this task?

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Describe your approach to handling edge cases and model developments, including some design considerations.

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Formats, difficulty and experience

Across all 7 Kodiak AI interview reports.

Interview formats

Technical 43.8%
Coding 37.5%
Behavioral 12.5%
System Design 6.2%

Interview difficulty

Easy 0%
Average 85.7%
Difficult 14.3%

Candidate experience

Positive 57.1%
Neutral 42.9%