Learning Coordinator Interview Questions

8,996 learning coordinator interview questions shared by candidates

Questions from the Recruiter were basic. Explaining more about my current experience and what I'm looking for. The Hiring Manager interview was around specific projects I completed, why I want to work for the Fed and why leaving my current role since I've been there so long.
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Leader Learning Specialist

Interviewed at Federal Reserve Bank of San Francisco

3.6
Apr 5, 2016

Questions from the Recruiter were basic. Explaining more about my current experience and what I'm looking for. The Hiring Manager interview was around specific projects I completed, why I want to work for the Fed and why leaving my current role since I've been there so long.

- An assembly question about a SIMD architecture that I cannot remember exactly. - Given an array of points (x and y coordinates), implement a data structure (a heap) for insertion and deletion of n nearest ones. - Implement a CUDA kernel that computes the frequencies of numbers given in an array - Given a very large file containing integers, implement an algorithm that outputs sorted version. (also do space and time complexity analysis) - Implement an optimized CUDA kernel for matrix transpose (also had discussions about GPU architecture) - Present a system you designed and implemented, and explain the changes for desired features asked on the conversation. - Various questions about deep learning like explanation of optimization algorithms, difference between gradient descent and stochastic gradient descent, underfitting, overfitting, gradient clipping and many more.
Aug 12, 2018

- An assembly question about a SIMD architecture that I cannot remember exactly. - Given an array of points (x and y coordinates), implement a data structure (a heap) for insertion and deletion of n nearest ones. - Implement a CUDA kernel that computes the frequencies of numbers given in an array - Given a very large file containing integers, implement an algorithm that outputs sorted version. (also do space and time complexity analysis) - Implement an optimized CUDA kernel for matrix transpose (also had discussions about GPU architecture) - Present a system you designed and implemented, and explain the changes for desired features asked on the conversation. - Various questions about deep learning like explanation of optimization algorithms, difference between gradient descent and stochastic gradient descent, underfitting, overfitting, gradient clipping and many more.

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