The role of AI engineers has become significantly prominent in recent times, with top tech companies actively hiring for artificial intelligence and machine learning roles. With automation at the forefront of modern technological innovation, an increasing number of software engineers are educating themselves in ML and AI to upskill themselves and stay relevant to present-day market demands.
Amazon is no stranger to the discernible AI trend. In fact, the company has been one of the pioneers of AI technology, leveraging ML and Ai to improve consumer experience and engagement.
If you’re a software engineer, software developer, engineering manager, or tech lead preparing for tech interviews, check out our technical interview checklist, interview questions page, and salary negotiation ebook to get interview-ready! Also, read How hard it is to get a job at Amazon and How to get Software Engineering jobs at Amazon for specific insights and guidance on Amazon tech interviews.
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If you are an AI engineer looking to apply to jobs at Amazon, this article is for you. We’ll discuss the various stages of the Amazon AI engineer interview process and understand what it takes to crack AI interviews at Amazon.
Here’s what we’ll cover in this article:
An AI engineer role at Amazon entails the following key responsibilities:
These are some of the basic qualifications required to be an AI engineer at Amazon:
The Amazon AI interview process consists of three main stages. The process is usually similar for most tech interviews at Amazon.
The initial phone screen will be with a recruiter from Amazon’s HR department. The recruiter will ask you questions pertaining to your level of experience, skills, your current and expected compensation, and why you’re specifically looking to apply at Amazon.
The initial phone screen is more of an informal conversation. If your experience level and skills satisfy the requirements of the position, you’ll be called for the technical phone screen Interview.
Recommended Reading: Amazon Phone Interview Questions
The technical phone screen interview is the first main round in the Amazon Ai interview process. This round is essentially a test of your problem-solving and analytical skills. Your knowledge of AI and ML concepts is also evaluated in this round.
You’ll be asked to solve a problem on core data structures and algorithms via an interviewing tool or a shared document. The hiring manager conducting this round will first ask you to brute force the solution to understand your analytical approach, after which you’ll be asked to write code. The approach you take to arrive at the most optimal solution is what is keenly observed in this round.
The hiring manager will also ask you questions about your AI skills, theoretical AI concepts, and your overall experience in the field. If your performance in this round is satisfactory, you’ll be invited to the Amazon onsite interview.
Recommended Reading: How to Prepare for and Crack Phone Screen Interviews at FAANG
The onsite interview is the last step in the Amazon AI interview process. The onsite tests various a bunch of technical and behavioral attributes before hiring managers decide to make you an offer.
The onsite typically consists of four main rounds:
To know more about Amazon interviews and the importance of being properly prepared for them, read our article on How Hard it is to Get a Job at Amazon.
Below are some noteworthy tips to keep in mind while preparing for the Amazon AI engineer interview:
Recommended Reading: How to Crack a Coding Interview With 2 Months of Prep
If you want to know the best way to nail your upcoming Amazon AI interview, register for our free webinar. We’ve trained 6,000+ students to land amazing offers at the biggest tech companies. With expert instructors who are FAANG hiring managers and tech leads themselves, we know exactly what it takes to crack tough technical interviews at the biggest companies.
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