AI/ML Engineer
Interview Masterclass
Land your dream AI/ML Engineer job with a 5-week, online cohort.
Led by interviewers and managers who worked at
Our Masterclass at a Glance
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
Meet with your instructors and peers three 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: ML foundation, coding, system design, ML system design, culture-fit & leadership. We will teach you dozens of concepts and solution templates.
😎 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.
MasterClass Modules
Master 6 Core ML Interview Areas
Our course roadmap ensures you are not entering your upcoming interview blindfolded. From ML Theory to System Design and GenAI.
ML Foundation
Cover ML theory (e.g. Variance vs Bias) and depth (e.g. Algorithms) often seen in FAANG MLE interviews.
ML Coding
Learn common coding patterns. Comprehensive set of ML coding questions beyond LeetCode with detailed solution walkthroughs.
System Design
Learn core components of designing scalable systems and frameworks to answer hard design questions.
ML System Design
Acquire intuition on how to frame and solve open-ended ML system design questions (e.g. RecSys).
Generative AI
Cover the most recent interview questions on Generative AI, LLMs, and Transformers.
Behavioral & Resume
Resume insight, behavioral and leadership prep led by an ML Tech Lead or FAANG Recruiter.
Our Class Schedule
Classes are held online every Monday, Wednesday, and Thursday for six weeks. Each session covers key interview concepts and concludes with practical case studies to reinforce your learning.
| Module | Date | Time (EST) | Time (PST) |
|---|---|---|---|
| Machine Learning | Apr 20, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| Machine Learning | Apr 22, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| Machine Learning | Apr 23, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| ML Coding | Apr 27, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| ML Coding | Apr 29, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| ML Coding | Apr 30, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| System Design | May 4, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| System Design | May 6, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| System Design | May 7, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| ML System Design | May 11, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| ML System Design | May 13, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| ML System Design | May 14, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| Resume & Behavioral | May 18, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| LLM & AI System Design | May 20, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| LLM & AI System Design | May 21, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |