60m
Put your recommendation engine skills to the test in our Movie Recommender Interview. This practical, scenario-based session challenges you to build a recommender system from the ground up, simulating a real-world project from start to finish.
Guided by our AI interviewer, Edward, you'll tackle a realistic dataset, navigating through every stage of the project lifecycle. You'll handle everything from data cleaning and SQL querying to exploratory data analysis, modeling, and communicating your results.
The primary goals of this interview are to:
Perfect for data scientists and machine learning engineers, this mock interview provides an invaluable opportunity to prepare for technical roles that involve building and deploying recommendation systems.
Put your recommendation engine skills to the test in our Movie Recommender Interview. This practical, scenario-based session challenges you to build a recommender system from the ground up, simula...
Show MoreThe interviewer simulates a real-world interview an adapts accordingly.
Ask for hints or clarifications if you're stuck.
Built to Simulate the MAANG Experience
Prep for Every Loop
Practice explaining complex technical concepts verbally to build confidence and refine your communication skills.
Detailed Analysis
Unlock insights that highlight your weaknesses and gives you sample responses.
Instant, Actionable Feedback
Receive immediate, targeted guidance on solution correctness, complexity, and approach.
Interactive Environment
Hone your coding logic in an editor and bring your system designs to life with an integrated diagramming workspace.
Tailored to Your Preferences
Get relevant practice scenarios for your role and experience, whether you're a junior or an engineering manager.