​Nail ML Interviews
at Top Tech Companies
[ Get your dream ML job—or get your money back, guaranteed ]
01
Selective Focused Cohorts
​
We only accept the most dedicated candidates through a focused entrance test, ensuring every cohort member shares the same drive and ambition.
02
Targeted Curriculum
Our curriculum, led by FAANG instructors, is laser-focused on ML interview preparation, with no unnecessary distractions or dilution.
03
Mock Interviews & Feedback
Built-in mock interviews provide ample practice and personalized feedback, so you’re fully prepared for the
real thing.
04
​Job Placement Support
​
We partner with top placement companies to match you with the right opportunities, helping you land your dream ML job.
Why Interview Node?

The Offering
Interactive Live Classes
Join live classes led by industry experts and master the insights, strategies, and best practices you need to ace technical interviews.
Personalized 1-1 Coaching
Receive personalized one-on-one coaching to sharpen your skills and make quick adjustments for better outcomes.
Mock Interviews
Tailored mock interviews that mirror real technical interview scenarios, giving you invaluable practice and feedback to excel when it counts.
Career Transition Guidance
Get dedicated placement support from top staffing agencies specializing in machine learning roles so that you can land your dream job.
Empowering Engineers
8
Months Long
32
Mock Interviews
24/7
Support
100%
Money Back
Top firms we help you get hired at








Career Paths
Machine Learning Engineer
ML Engineers are among the highest-paid roles in tech. With the ML market in the US projected to grow at an incredible 24.5% annually through 2030, there’s never been a better time to level up your skills and land your dream job.
Data Scientist
Data Engineers are the backbone of modern tech, powering everything from AI to analytics. With demand soaring and companies racing to build scalable data systems, it’s one of the fastest-growing and best-paid roles in the US.
AI Software Engineer
AI Software Engineers are at the forefront of innovation, building the systems that define the future. With AI transforming industries and demand for engineers skyrocketing, it’s one of the most rewarding careers in tech.
ML Interview Prep Curriculum
01
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Python Programming Proficiency
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Data Structures and Algorithms
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Project: Implement key algorithms and data structures in Python, focusing on efficiency and performance.
02
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System Design Fundamentals
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Advanced System Design
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Project: Develop a system design for a machine learning-based application, considering scalability and performance.
03
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Essential Mathematics for ML
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Supervised Learning
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Project: Develop a data analysis pipeline using Python, perform EDA, and visualize insights.
04
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Unsupervised Learning
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Neural Networks and Deep Learning
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Project: Develop and train both a regression and a classification model.
05
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Data Collection and Cleaning
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Exploratory Data Analysis (EDA)
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Project: Perform thorough data cleaning, preprocessing, and EDA on a new dataset.
06
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Model Evaluation and Validation
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Model Deployment and MLOps
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Project: Create a pipeline including data collection, model training & deployment, and monitoring
07
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Advanced Data Structures and Algorithms Practice
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Behavioral and Soft Skills
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Advanced System Design Review
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Project: Comprehensive Interview Prep Project
08
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Special Topics NLP and Recommender Systems, Generative AI System Design and introduction to Prompt Engineering
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Machine Learning at Scale
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Final Project: Choose between an NLP or large-scale ML project