Register for our webinar

How to Nail your next Technical Interview

1 hour
Enter details
Select webinar slot
*Invalid Name
*Invalid Name
By sharing your contact details, you agree to our privacy policy.
Step 1
Step 2
You have registered for our webinar
Oops! Something went wrong while submitting the form.
Enter details
Select webinar slot
*All webinar slots are in the Asia/Kolkata timezone
Step 1
Step 2
You are scheduled with Interview Kickstart.
Oops! Something went wrong while submitting the form.
Iks white logo

You may be missing out on a 66.5% salary hike*

Nick Camilleri

Head of Career Skills Development & Coaching
*Based on past data of successful IK students
Iks white logo
Help us know you better!

How many years of coding experience do you have?

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Iks white logo

FREE course on 'Sorting Algorithms' by Omkar Deshpande (Stanford PhD, Head of Curriculum, IK)

Thank you! Please check your inbox for the course details.
Oops! Something went wrong while submitting the form.
Our June 2021 cohorts are filling up quickly. Join our free webinar to Uplevel your career

Amazon Machine Learning Engineer Interview Prep

The demand for machine learning engineers has seen a significant uptick in the last few years. Big tech companies, including Amazon, Google, Facebook, and Microsoft (among others), have increased hiring for ML engineers to develop deep learning and AI algorithms to automate predictive models. 

At Amazon,  the machine learning engineers are experts at building ML and deep learning models. They build these models not only for Amazon but for other large enterprises on AWS. 

Machine learning engineers at Amazon have interesting workdays, balancing their time between research, learning, prototyping, and delivering results. If you are preparing for Amazon’s machine learning interview, this article will give you an idea of the interview process, what Amazon looks for in ML engineers and the things you should do to crack ML interviews. 

Here’s what you can expect from this article:

  • Amazon Machine Learning Engineer Interview Process
  • Typical Responsibilities of ML Engineers at Amazon
  • Qualifications for Amazon ML Engineers
  • Amazon Machine Learning Engineer Interview Questions
  • Tips to Crack the Amazon ML Interview
  • Gear Up for Your Next ML Interview

Amazon Machine Learning Engineer Interview Process 

The machine learning interview process at Amazon is very similar to the interview process for software engineers. The only difference is that ML interviews have a dedicated round for ML and AI questions and don’t have a systems design round. 

Here’s what the interview process for ML engineers looks like:

Initial Phone Screen with a Recruiter

This is the initial round where a recruiter will contact you to ask you a few basic questions about your experience and ML skills. If your skills are in sync with the role’s responsibilities, your next round will be scheduled. 

Recommended reading: How to Prepare for and Crack Phone Screen Interviews at FAANG

Technical Phone Screen

A hiring manager from Amazon’s ML team will interview you in this round. You’ll be asked to solve a coding problem on core data structures to evaluate your approach and ability to solve problems by applying multiple programming concepts. 

You’ll also be asked a few theoretical machine learning questions. If you meet the expectations in this round, your on-site interview will be scheduled in a week or two following your technical phone screen. 

Recommended reading: Amazon Phone Interview Questions

Onsite Interview

Amazon’s onsite interview is also called The Loop. During the onsite, you go through a series of interviews (of around 3-4 rounds) that test you on a variety of areas. Here are the rounds that take place during the onsite interview:

  • The Coding Round: You’ll be asked to solve a coding problem on algorithms in this round. Your knowledge of graph algorithms, greedy algorithms, Trees, and Dynamic programming is tested during this round. 
  • The ML Round: This round will involve answering a number of questions on ML concepts. You’ll also be asked to share your ideas for an ML system for predictive data models. 
  • Behavioral Round: The behavioral interview at Amazon revolves around the company’s 14 leadership principles. Your approach to answering questions and the clarity of your answers will give you points in this round. You’re also asked questions on workplace situations and relationships with coworkers/superiors. 
  • The Bar-Raiser Round: This round is specific to Amazon, where a Bar-raiser will evaluate if you’re the right cultural fit at Amazon. Bar raisers are specially trained employees who ensure that the hiring bar is maintained at a high level. You’ll mostly be asked some questions about Amazon’s leadership principles and workplace situations. 

Recommended reading: How to Prepare for the Amazon Onsite Interview in 2 Months

Typical Role of Machine Learning Engineers at Amazon

Here’s what your role as a machine learning engineer at Amazon would involve:

  • Develop deep learning and machine learning algorithms for predictive models
  • Collaborate with the software engineering and data engineering teams to develop predictive data models
  • Design and develop scalable machine learning and AI systems
  • Integrate ML and AI into business applications to automate a whole range of processes 
  • Designing and developing the architecture for data models and taking data-driven decisions by interpreting model metrics

Qualifications Required to be a Machine Learning Engineer at Amazon

The below qualifications are what Amazon looks for in engineers applying to ML roles:

  • While a bachelor’s degree in computer science is good enough to apply to ML jobs at Amazon, a master’s degree in Computer Science, IT, or a related field is preferred. 
  • Familiarity and proven working knowledge of ML concepts, including data governance, application development, and infrastructure development.
  • Proven working knowledge of building and designing algorithms for data models.
  • Proven working knowledge of an object-oriented programming language, preferably Java, Python, or C++.
  • 5+ years of experience in the field of machine learning.

Amazon Machine Learning Engineer Interview Questions

 The interview questions asked at Amazon’s ML interview can be classified into three main categories. 

Coding Questions

These questions revolve around core data structures and algorithms. Below are the topics to prepare and some sample coding interview questions. For more practice questions, check out Amazon Coding Interview Questions and our exhaustive Problems Page

Topics to prepare for the Amazon coding interview:

Sample Questions:

  • Given an integer array arr of size n, find all magic triplets in it. A Magic triplet is a group of three numbers whose sum is zero. (Solution)
  • Given a stream of integers, find the median of the set of integers read from the stream so far. If the median is a non-integer, round it down to the nearest integer (Solution).
  • Given an array of time intervals (in any order) inputArray, of size n, merge all overlapping intervals into one and return the resulting array outputArray, such that no two intervals in output Array are overlapping. (Solution)
  • Given two arrays: 1) arr1 of size n, which contains n positive integers sorted in the ascending order. 2) arr2 of size (2*n) (twice the size of first), which contains n positive integers sorted in the ascending order in its first half. Second half of this array arr2 is empty. (Empty elements are marked by 0). Write a function that takes these two arrays, and merges the first one into the second one, resulting in an increasingly sorted array of (2*n) positive integers. (Solution)
  • Inorder traversal - Process all nodes of a binary tree by recursively processing the left subtree, then processing the root, and finally the right subtree. Preorder traversal - Process all nodes of a binary tree by recursively processing the root, then processing the left subtree, and finally the right subtree. Given the inorder and preorder traversal of a valid binary tree, you have to construct the binary tree. (Solution)

Want access to more coding problems along with complete solutions? Visit the Problems page.

Machine Learning Interview Topics and Questions

Topics to prepare for the Amazon ML interview:

  • BigQuery
  • TensorFlow
  • Cloud Vision
  • Model Validation
  • Model Optimization
  • Deep Learning Models
  • Predictive Models
  • Data Processing
  • ML and DL frameworks
  • Amazon ML engine

Sample questions:

  • Explain CCA and ICA. How do you get a CCA objective function from PCA?
  • Explain the process of finding thresholds for a classifier.
  • Explain your idea to build a booking model to predict prices for accommodations on Airbnb. 
  • Which model among Random Forest Regression and Linear Regression would you prefer, and why?
  • Explain the difference between Logistics Regression and Support Vector Machines.

Behavioral Interview Questions

Behavioral questions are an important part of the decision-making process at Amazon. These sample questions will give you an idea of the type of questions to expect at Amazon’s machine learning interview.

  • How do you make sure to avoid burnout when you’re working on a challenging project?
  • Have you had to adapt quickly when you started out on a new project? Give us an instance.
  • Tell us about a time when you disagreed with your superior?
  • Tell us about a time when you missed a project deadline? How did you deal with the situation?
  • Tell us about a time when you had to deal with a difficult client.

Check out a long list of Amazon Behavioral Questions and Amazon Leadership Principles Questions specially curated for Amazon’s behavioral interviews.  

Tips to Crack the Amazon Machine Learning Interview

Below are some quick tips to crack the machine learning interview at Amazon:

  1. Begin your prep at least 10 weeks in advance, mostly because the extent of topics to cover are significantly vast. 
  2. Practice whiteboard coding for the onsite interview, as recruiters can ask you to write code on a whiteboard. If you don’t have prior practice, it can be extremely difficult to bring your thoughts together and write error-free code on a whiteboard.
  3. Amazon lays enormous emphasis on behavioral interviews. The bar-raiser round is designed specifically for that -  to evaluate if you’re the right cultural fit at Amazon. That said, do not ignore preparing for behavioral interviews. 
  4. Structure your answers to questions about past projects in the STAR format. This way, you give recruiters a clear idea of what went down. 
  5. Create a portfolio of your past projects and list details in the STAR format. Having a ready portfolio can put you miles ahead of the competition. 
  6. While practicing problems, make sure you identify inherent solution patterns and apply them to new problems. This is the only proven way to amp up your problem-solving skills. 
  7. Become well-versed with not just ML concepts but also core concepts of the programming language of your choice. 

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 e-book 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.

Gear Up For Your Amazon ML Interview

Want to get started with your machine learning interview prep? We offer a one-of-its-kind Machine Learning Interview Course that’s tailor-made for machine learning engineers like you to crack ML interviews at the biggest companies. Click here to learn more about the course.

We’ve trained over 6,000 engineers to land dream offers at the biggest tech companies. Our reviews will tell you how we’ve shaped the careers of thousands of professionals aspiring to take their careers to new highs. 

At IK, you get the unique opportunity to learn from expert instructors who are hiring managers and tech leads at Google, Facebook, Apple, and other top Silicon Valley tech companies.

Want to get started with your tech interview prep? Sign up for our FREE Webinar.

Interview Preparation
Last updated on: 
August 10, 2021

Swaminathan Iyer

Product @ Interview Kickstart | Ex | Business Management - XLRI Jamshedpur. Loves building things and burning pizzas!

Recession-proof your Machine Learning Engineering Career

Worried About Failing Tech Interviews?

Attend our free webinar to amp up your career and get the salary you deserve.

Hosted By
Ryan Valles
Founder, Interview Kickstart
Accelerate your Interview prep with Tier-1 tech instructors
360° courses that have helped 14,000+ tech professionals
57% average salary hike received by alums in 2022
100% money-back guarantee*
Register for Webinar

V. Ma

Solutions Architect

I Was Able to Get Offers at Amazon and Polysign and Accepted Amazon.

After completing the course, I was able to solve different types of tough questions that were asked in interviews. I was able to get offers at Amazon and Polysign and accepted Amazon.

Vineet Joglekar

Software Development Manager

Interview Kickstart Offers a Comprehensive Program to Succeed in Technical Interviews. I Received an Offer at Amazon After Interview Kickstart.

Interview Kickstart's program is extremely well structured with top-class instructors that help you refresh your tech skills as a software engineer much more efficiently.

A. Sa

Software Engineer

After Interview Kickstart, I Feel Much Better About Interviews Than Before. I Was Able to Get an Offer at Amazon.

I feel much better about interviews than before. I am happy about the connections I've made in my study groups. I was able to get an offer at Amazon.

V. Sh


I Was Able to Receive Offers at Google, Amazon, and Box After Taking Interview Kickstart

I was able to receive offers at Google, Amazon, and Box and I feel more confident in my interviews now more than ever after taking this course.

S. Ma

Software Engineer

With Interview Kickstart, I Was Able to Crack My Interviews at Amazon, Oracle, and Cisco.

The curriculum, video material, mock interviews, and experienced instructors really opened my eyes towards what level I need to be for my interviews. I was able to crack my interviews at Amazon, Oracle, and Cisco.

Sujay Ghosh

Software Development Manager

Interview Kickstart Helps People Transition into FAANG Companies. I Got Into Amazon.

The course was really helpful. Interview Kickstart, keep on doing what you are doing and helping people transition into FAANG companies.
closeAbout usWhy usInstructorsReviewsCostFAQContactBlogRegister for Webinar