Machine Learning Developer Interview Questions

8,210 machine learning developer interview questions shared by candidates

Could you tell us about yourself? What is it specifically that makes you want to pursue data and AI as a career? What commercial uses of Machine Learning have you seen or researched and why has the impact been so high? Could you please give us some examples of your work with data or analytics tools either from university or a previous job?
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Machine Learning Engineer

Interviewed at Kubrick Group

3.5
Jul 6, 2021

Could you tell us about yourself? What is it specifically that makes you want to pursue data and AI as a career? What commercial uses of Machine Learning have you seen or researched and why has the impact been so high? Could you please give us some examples of your work with data or analytics tools either from university or a previous job?

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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