AI/ML Engineering Interview Masterclass
Maximize your chance of success in landing your dream AI/ML Engineer job by joining the four-week, cohort masterclass led by ML Tech Leads who worked at Google and Meta
Join Our September Cohort
What Our Masterclass Offers
Never enter an AI/ML Engineer interview blindfolded. We will give you the exclusive insights, a TON of practice questions and inside scoops from interviewers - so you can succeed!
👨🏫 Live Online Classes
For four weeks, meet with your instructors and peers two times a week via Google Meet. In each class you will learn, practice, and network for your next MLE job.
📚 Comprehensive Curriculum
Master core areas of MLE interviews: coding, system design, ML system design, culture-fit & leadership. We will teach you dozens of concepts and solution templates.
❓100+ Curated Interview Questions
Practice actual interview problems with detailed solutions. The questions are up-to-date in 2023.
😎 MLE Instructors from Top Companies
Work with hiring managers from top companies like Google and Meta.
📈 Break the Senior & Staff Bar
Frustrated why you are being down-leveled? Get the exclusive take from MLE hiring managers on why this occurs and how to break the bar.
📚 Our Curriculum
Our course roadmap makes sures that you are not entering your upcoming interview blindfolded.
Week 1 - ML Coding
No, coding rounds in MLE interviews are not just LeetCode-style questions. Get the comprehensive set of ML coding questions with detailed solution walkthrough.
Week 2 - System Design
We will teach you the core components of designing a scalable, maintainble application systems, AND give you the framework to answer even the hardest questions, effectively.
Week 3 - ML System Design
ML System Design is a black-box for many. But, with our course lessons and practice sessions, you will acquire intuition on how to frame ANY open-ended ML system design questions.
Week 4 - Generative AI / Interview Ready
In the first class, we will cover most recent interview questions on Generative AI. Then, we will end the week with resume insight, behavior and leadership led by an ML Tech Lead interviewer or a technical recruiter from FAANG.
Our September Cohort Schedule
Our Flagship MLE Engineering Masterclass starts on September 12. We will meet two times a week via Google Meet over the course of four weeks.
Taught by Instructors from Top Companies
We've been in your shoes multiple times. We understand the frustration in the interviewing game as a candidate. And, we know what interviewers look for as we conducted interviews ourselves. Join our masterclass, and we will give you the inside scoop on how to ACE AI/ML Engineering interviews.
Abhishek Kumar
ML Tech Lead
For the past 15 years, I have been a Machine Learning Engineer, Research Scientist, Technical Lead and Engineering Manager. I am an expert in machine learning techniques, statistics and big data technologies. Currently, I am a machine learning tech lead/manager at Meta in the Ads team. I have led and trained teams through numerous machine learning projects in different industries. I have a lot of experience coaching people in their careers, preparing for interviews and helping businesses make the best out of their data. Don’t hesitate to reach out if I can help!
Dan Lee
Data Scientist
I have been a practitioner and coach in data science and ML engineering for the past 7 years. I have managed, developed, and deployed statistical analysis and ML systems across a consulting firm, startups and large tech. Now, I run DataInterview.com and have helped people land top jobs with high compensations (e.g. ~$300K+) in DS & MLEs at companies like Google, Meta, Amazon and much more! I love sharing my passion for DS & MLE to my students as I provide personalization based on your background and career goals. Reach out to me to land your dream data job!
Join Our September Cohort
Our September cohort starting September 12, 2023 only has limited slots. Secure your spot today so you don't miss out on the opportunity to accelerate your interview prep in ML Engineering!
AI/ML Engineer Masterclass
Limited to just 20 seats
- 16 Hours of Live Classes Led by Hiring Managers at Top Companies
- 100+ Actual Interview Questions + Detailed Solutions
- Core Technical Areas - ML System, System Design, ML Coding
- Behavioral & Leadership Question Prep
- Resume Tips from Hiring Managers
- Offer Negotation Tactics
- 1-Year Access to DataInterview
- 1-Year Access to the Lecture Recordings
- Cohort Study Group on Slack
- Strong Network with the Alumni Community
Personalized Masterclass
Limited to just 5 seats
- 3 x 1-Hour Mock Interview/Mentorship Call
- Resume Reviews
- 16 Hours of Live Classes Led by Hiring Managers at Top Companies
- 100+ Actual Interview Questions + Detailed Solutions
- Core Technical Areas - ML System, System Design, ML Coding
- Behavioral & Leadership Question Prep
- Resume Tips from Hiring Managers
- Offer Negotation Tactics
- 1-Year Access to DataInterview
- 1-Year Access to the Lecture Recordings
- Cohort Study Group on Slack
- Strong Network with the Alumni Community
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email at contact@datainterview.com and we'll get back to you as soon as we can.
- How hands-on will the instructors be over the course of the masterclass?
- The instructors are experienced professionals in AI/ML engineering and interviewing. We will address all the questions you have during and, via, slack message and email over the course of the masterclass.
- What happens after I enroll?
- You will receive an email from us with an onboarding document, slack access, and DataInterview course access.
- What if I miss out on one of the live classes? Will I be able to watch the recording?
- Yes, all the classes will be archived for you to watch and re-watch should you miss the class or you just simply want to review.
- What does the Personalized Masterclass entail?
- You will get 3 x 1-hour 1:1 session time with the instructor of your choice. The 1:1 session time will be part mentorship or purely mock interview - depending on what you request.
- What if I lack prior experience as a Machine Learning Engineer. Is this still right for me?
- The masterclass presumes that you have at least a year or two industry experience in a technical profession (e.g. data science, software engineering, ML engineering, data engineering). Or, you are a Masters or Ph.D. student specializing in ML or Data Science.
- Do you cover the basics in machine learning and statistics?
- The course presumes that you already have basic knowledge in statistics and machine learning engineering. And, if you forgot some, that is okay. We will send you pre-reading content.
- I do not know how to code. Should I still take the masterclass?
- We do not recommend that you take the masterclass if you do not know how to code just yet. If you can solve easy-level algorithms & data structure question in OOP language (e.g. Python) then you have sufficient knowledge for the masterclass prep.
- Is it possible to pay in installments?
- Absolutely, we can provide a payment plan that allows you purchase the masterclass in three installments. You can email contact@datainterview.com to get this set up.
- What is the `AI` portion of the masterclass?
- The ML/AI constantly evolving. Our concept review and question bank reflects the changing times. Some of our topic coverage will include questions and concepts based on large-language-model.