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.
Research Engineer Interview Questions
2,800 research engineer interview questions shared by candidates
What do you know about Flam and its work?
Questions around linear regression with complex noise, ML take-home assignment.
Microprocessors, networks, OS
Could you please share a failure experience?
Angular Questions. NodeJS Questions. Coding questions. Project architecture. CORS policy issue.
Pas d'entretien avec un membre d'InstaDeep.
What is the main difference between LSTM and RNN?
Describe how several RL algorithms work (DQN, PPO ...)
The interview was very detailed regarding my technical background. I had to explain why I chose to took some of the courses and how this helped had me through my past years.
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