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Candidate-reported interview insights

Autodesk Machine Learning Engineer interviews, decoded.

Explore commonly reported questions, interview rounds, difficulty, duration, and candidate experiences for the Machine Learning Engineer role at Autodesk.

4 rating Enterprise Software & Network Solutions

Interview overview

Difficulty

Average

Average rounds

1.9

Average duration

~44 days

Difficulty and candidate experience

Interview difficulty

easy30%
average60%
difficult10%

Candidate experience

positive50%
negative40%
neutral10%

Candidate-reported interview process

First, there was a quick chat with the recruiter over the phone where they asked about my skills and what I've done. Then, I had a video call with the hiring manager. Finally, I did a technical round with some of the team members.

We did a few rounds to check things out, covering technical stuff and also how you are as a person and if you'd fit in. There were culture fit rounds too. The first thing was with HR, where they asked about what I do now and my responsibilities, and we talked about the money I'm getting now and what I'm looking for.

started with an hr video interview, was supposed to be 30 min, but hr was 15min late and then it only lasted 10min. hr asked me why im interested in the company, and after i answered she asked it again. she was pretty rude, and then they rejected me.

Common Autodesk Machine Learning Engineer interview questions

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

  1. 1

    Could you explain the architectural decisions you made in your previous project?

  2. 2

    Name a difficult challenge you faced and how did you solve it.

  3. 3

    Describe how your projects can help you in this job.

  4. 4

    Tell us about your experience and projects you did?

Interview question formats

Behavioral30.9%
Technical27.5%
Coding18.4%
Other14%
Case3.8%

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