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Ace the AI technical interview

Are you one of the following?
Data AnalystData EngineerData ScientistML EngineerML Ops EngineerResearch ScientistAI Engineer

Then this is the first Interactive Interview Prep tool for you! LLM and ML system design questions are also included.

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We made a quick demo of our app showing the Premium capabilities. No account needed. Subscribe to unlock the more advanced Premium Plus features too!

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Quick Quiz

Which of the following is NOT effective in combating the vanishing gradient problem in very deep neural networks?



What is Neura Prep?

AI engineering interviews diverge from traditional software engineering ones, placing greater emphasis on conceptual understanding of data science and machine learning principles. A typical interview consists of a (natural language) technical discussion between the candidate and the interviewer, where the interviewer is looking after a few key competency markers with each posed question. Therefore an interactive experience is needed to properly train for such a scenario; neuraprep.com accomplished just that, providing dynamic feedback through simulated interview scenarios.

We have built the largest repository of Data and AI interview questions, featuring over 400+ meticulously curated problems along with expert solutions developed by the founders themselves. We use machine learning to compare your response against the ideal solution from our database and provide tailored feedback to help you improve and succeed.

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AI interview questions

Includes interview questions from all AI subfields, such as machine learning, data science, statistics, and more.

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AI coding questions

AI isn't all theory and math. Our coding questions equip you with the practical skils to tackle real AI problems.

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ML system design

Evaluate your ability to design large-scale machine learning systems. Requires specialized knowledge in software architecture.

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AI Quizzes

We've carefully crafted multiple quizzes to test your understanding of AI concepts, tailored by difficulty level and specific subfields.

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AI Questions

Machine learning interviews demand a comprehensive understanding of the field, typically evaluated through in-depth technical discussions. Our platform replicates this interview experience by presenting questions used in real AI interviews, organized by difficulty level. This immersive simulation allows you to effectively practice and demonstrate your machine learning expertise, ensuring you are well-prepared for your next interview.

We have also meticulously curated quizzes, each typically containing seven questions, to provide quick assessments tailored by difficulty level.

With over 400 questions spanning all subfields of data science and machine learning, our platform offers the most comprehensive collection of interview questions. Those who complete every single challenge on this platform will find no AI technical interview a threat.

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AI Coding Questions

It's important to know more than just theory and math before walking into machine learning interviews, because the coding portion of these interviews will test your knowledge in an applied format.

Our thoughtfully selected machine learning coding interview questions encompass the most crucial applied concepts and are sourced from actual interview experiences. No boring toy problems like coding a vanilla neural network in numpy, our coding challenges leverage the most up-to-date frameworks and practices.

ML System Design Questions

Designing large-scale machine learning systems goes beyond just machine learning fundamentals and requires a profound understanding of numerous specialized machine learning topics.

Proficiency in concepts such as producer/consumer architectures and Kafka streams is essential for excelling in any ML system design interview.

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Frequently Asked Questions

What's the multi-turn assessment offered unlimited in Premium Plus?

This feature is aiming to truly simulate the interview experience, being the flagship of our business. Here, if you do not know the complete answer to the question straight away, the marker won't directly grade you (like it happens in regular Premium), instead, you will receive guidance and questions that will lead you towards the answer that the interviewer wants to hear. Long story short, this is a mini conversation (of maximum 3 attempts back and forth) between you and the interviewer, where you both work towards solving the problem. This is not just using a wrapper around an LLM, the language model always refers to the golden answer from our proprietary database to really have the full context and act like an interviewer. This experience cannot be replicated on the ChatGPT website.

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AI Interview Questions

Statistics
  • Quant-like brain-teasers
  • Statistics theory
  • Probability theory
  • Statistical ml models
Data Engineering
  • Feature engineering
  • Feature selection
  • Data preparation
  • Data visualization / interpretability
  • Dimensionality reduction
Deep Learning
  • Transformers
  • Calculus
  • Neural Network theory
  • Computer Vision
  • Natural Text Understanding
  • Reinforcement Learning
Classical Machine Learning
  • Sklearn
  • Tree based models
  • Regression
  • Support vector machines
  • Supervised / unsupervized learning
  • Ensemble learning