Describe your course and personal projects.
Machine Learning Researcher Intern Interview Questions
1,816 machine learning researcher intern interview questions shared by candidates
General C++ questions: exceptions in constructors / stack unwinding, step-by-step creation of objects (order of constructors & members initialization), virtual inheritance. Specific question - can you use 'auto_ptr' in vectors?
Estimate number of gas stations in the uk
questions based on probability, stats and coding
Write a directed graph class with add/remove nodes and edges. Implement Topological sort with cycle detection.
1. Return the unpaired string 2. Print the order of a tree according to the column index
Determine if a string of integers is a palindrome as efficiently as you can, and give the Big-O complexity
Describe a scenario where a project wasn't going to work, what did you do?
Difference between generative and discriminative classifiers
My experience with PhysicsX was unfortunately very disappointing and frustrating. Despite being informed of a structured interview process consisting of four rounds, only two technical interviews actually took place. The first round felt more like a formality (easy leetcode problems on Coderbyte), while the second involved a technical assessment centered around 3D datasets relevant to the day-to-day work at PhysicsX. It's worth noting that machine learning (ML) hadn't even entered the discussion at this point. The promised third round, which was supposed to delve into PyTorch and ML optimization, never occurred. Instead, I received a rejection, citing the need for stronger experience in PyTorch and optimization. What's particularly disheartening is that these skills were never even evaluated. This experience not only wasted my time but also left me feeling undervalued as a candidate. I would advise others to carefully weigh the potential time investment before considering opportunities with PhysicsX.
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