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in a given week the probability that some A produces 8 products is more than 10x higher than B producing 8 products. the average prob. of 7 day produced num. of products is 8. q: what is the prob. that B produce at least 2 products in a week q: given 2 days, what is a probability that total number of products produced in a period is exactly 2
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AI Research Engineer

Interviewed at Bending Spoons

4.7★
Nov 7, 2025

in a given week the probability that some A produces 8 products is more than 10x higher than B producing 8 products. the average prob. of 7 day produced num. of products is 8. q: what is the prob. that B produce at least 2 products in a week q: given 2 days, what is a probability that total number of products produced in a period is exactly 2

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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Machine Learning Engineer, Research

Interviewed at PhysicsX

4.2★
Apr 4, 2024

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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