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Applied Research Interview Questions

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499 applied research interview questions shared by candidates

• What are the typical Greek symbols used in Q-Learning? • What does Alpha typically represent? • What does Gamma typically represent? • What does Epsilon typically represent? • What is Greedy-Epsilon? • How does a High Alpha versus a Low Alpha impact the model? • What is the Exploration-Exploitation Tradeoff? • What is a Decay Structure? • What is important about a Decay Structure? • How could we apply reinforcement learning to Alexa/Echo which would add functionality? • How would you implement this? • What kind of reward structure would you use? • Why would you use that reward structure? • Tell me about a time when you were not able to complete all parts of a task? • Tell me about a time you not only met expectations but exceeded them?
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Applied Scientist Internship

Interviewed at Amazon

3.5★
17 Mar 2021

• What are the typical Greek symbols used in Q-Learning? • What does Alpha typically represent? • What does Gamma typically represent? • What does Epsilon typically represent? • What is Greedy-Epsilon? • How does a High Alpha versus a Low Alpha impact the model? • What is the Exploration-Exploitation Tradeoff? • What is a Decay Structure? • What is important about a Decay Structure? • How could we apply reinforcement learning to Alexa/Echo which would add functionality? • How would you implement this? • What kind of reward structure would you use? • Why would you use that reward structure? • Tell me about a time when you were not able to complete all parts of a task? • Tell me about a time you not only met expectations but exceeded them?

The second round was with a senior engineer from the same team. it was a coding interview on CoderPad(the research team uses mostly python). 2 questions, first one is basically the implementation of the equivalent of scipy.stats.rv_discrete.
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Applied Deep Learning Research Intern

Interviewed at NVIDIA

4.4★
8 Mar 2017

The second round was with a senior engineer from the same team. it was a coding interview on CoderPad(the research team uses mostly python). 2 questions, first one is basically the implementation of the equivalent of scipy.stats.rv_discrete.

The test was about floating-point arithmetic; in the first task, I had to implement a very simple floating-point operation considering possible optimizations. In the second task, I had to compare and choose the best between two given implementations of a simple mathematical operation and justify the answer.
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Applied Research Engineer

Interviewed at Imagination Technologies

2.9★
4 Feb 2019

The test was about floating-point arithmetic; in the first task, I had to implement a very simple floating-point operation considering possible optimizations. In the second task, I had to compare and choose the best between two given implementations of a simple mathematical operation and justify the answer.

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