Find a Machine learning interview coach to get a job at Google, Meta, Amazon, etc.

To effectively prepare for Machine learning interviews, consider taking the following three key steps.

1. Familiarize yourself with the interview questions asked for the specific role and company you’re interviewing for. You can find example questions for most roles on our blog as well as on Glassdoor.
2. Practice answering questions by yourself. An important part of interviewing is how well you communicate. So, when practicing by yourself it’s a good idea to talk out loud even if it might feel awkward at first.
3. Finally, we recommend doing mock interviews with someone who’s used to running Machine learning interviews. If you know anyone who can give you a mock interview, contact them to set up some time. Otherwise, you can schedule an interview coaching session with a coach on IGotAnOffer.

A Machine learning interview coach will improve your interview performance and increase your chances of getting an offer. In a coaching session, you’ll usually either do a mock interview with your coach, or discuss with them how to best prepare for your interview.

In a 1h mock interview session, you’ll spend 45 minutes being interviewed by your coach and they will give you feedback on your performance for 15 minutes. They will identify your weak points, give insightful, actionable advice on how to improve, and give you more confidence going into your real interviews.

In a general preparation session, you can use your coach to help you structure your preparation, answer any question you might have about your upcoming interview, and make more efficient use of your study time.

You can hire a Machine learning interview coach on our platform from $119 per hour. This makes our platform easily the most affordable Machine learning interview coaching service around.

Hiring a Machine learning interview coach usually gives extremely high ROI. A typical scenario on our platform is a candidate spending $500 on interview coaching, landing the offer, and enjoying a ~$30,000 increase in salary conditions as a result. You can read success stories from candidates who have worked with us in the past here.