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Candidate-reported interview insights

AIM Intelligent Machines Interview Questions

Explore commonly reported questions, interview rounds, difficulty, duration, and candidate experiences at AIM Intelligent Machines.

4 rating Enterprise Software & Network Solutions

Interview overview

Difficulty

Difficult

Average rounds

2

Difficulty and candidate experience

Interview difficulty

easy0%
average33.3%
difficult66.7%

Candidate experience

positive33.3%
negative66.7%

Candidate-reported interview process

Had a chat with the recruiter, then a technical screen. The plan was to have an onsite after that. Everyone seemed super friendly and happy with their jobs. I actually bailed on the onsite because I got another offer, but it looked like a good place to work.

I had a take-home coding challenge that was super tough given the 2-hour window. The instructions were kinda unclear, and I didn't even get to chat with the engineering team. It felt pretty niche, focusing a lot on geometry.

The interview process included a brief intro meeting about AIM's goals, followed by a technical assignment. The assignment was a direct copy from GitHub, poorly explained, and had many bugs that needed fixing before starting the actual problem. It felt like a waste of time.

Common AIM Intelligent Machines interview questions

A focused selection of the most detailed candidate-submitted questions.

  1. 1

    I feel like this challenge is very domain specific and involves geometry quite a bit!

  2. 2

    Take home Coding Challenge which is very difficult for the 2 hr time limit.

  3. 3

    Complete the assigned ML problem after fixing bugs.

  4. 4

    You don't even get to talk to the technical team.

Interview question formats

Coding50%
Technical33.3%
Behavioral16.7%

Popular AIM Intelligent Machines roles

  • Machine Learning Engineer2 reports

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Interview information is based on candidate reports and may not represent the current official hiring process of AIM Intelligent Machines.