Candidates applying for Internship roles take an average of 21 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Audi overall takes an average of 35 days.
Common stages of the interview process at Audi as a Internship according to 1 Glassdoor interviews include:
Other: 50%
Phone interview: 50%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 4 weeks. I interviewed at Audi (Ingolstadt) in Feb 2019
Interview
After applying to the position online, I got a reply for an interview in 2 weeks. I had about 3 interviews with the supervisor, the questions that were asked revolve around personal skills, experience, knowledge about the company and how my past experience related the job offered. The overall process was relatively fast, I got the offer just a few days after my last interview. Tip: if you are a foreigner, please do learn German language (min. B1 Level), because it will greatly help you in your daily activity with your co-workers.
Interview questions [1]
Question 1
Q: Tell me about your past experience and internship that will highly contribute to this role? Q: What do you think that the company value the most?
I applied online. I interviewed at Audi (Ingolstadt)
Interview
After submitting my CV and coverletter, I was invited to an online interview. The interview lasted around 1 hour, and after explaining my motivation for applying, I had the chance to ask questions to see if I would like to intern in this department. My interviewer was very professional, asked good questions, and answered all of mine.
Interview questions [1]
Question 1
What is your motivation behind applying to this role?
How would this internship get you further?
I was interviewed by Audi on Dec 04 2025 and it was straight forward technical interview based on my past work experience and based on my CV. It took 1 hr to complete the interview and with in a week I got the response
Interview questions [1]
Question 1
Mostly on ML concepts based on my projects and work experience
Only one round. Tested ML fundamentals and LLM Knowledge. Questions on supervised, semi-supervised learning. Some math questions on loss functions and some general engineering questions on docker, linux cmds etc
Interview questions [1]
Question 1
Explain the loss function equation in your research paper,
explain kmeans for a layman
explain attention mechanism and some optimization techniques you might know to make it faster