asked about evaluation metrics, including recall, precision, F1, and methods to avoid overfitting.
Applied Scientist Interview Questions
1,182 applied scientist interview questions shared by candidates
What is meant by contrastive learning?
A lot of old school and modern NLP questions. No live coding, just a take home NLP/ML task.
- talk through a machine learning case study (covering high level approach and technical details) - why tractable? - what’s some negative feedback you’ve received?
Describe the Project you worked on + ML questions + coding round
Regression based and matrix creation coding
Coding test and presentation of past work
Design a sentence completion ML model
A case study on how to optimize the food delivery process
TPS1: leetcode questions, which I didn't realize until later as I don't like to remember how to do it from standard leetconde answer. I think if you are familiar with function and data manipulation you will be ok to solve the questions. Also, there are some statistical analysis questions. TPS2: real challenging Uber optimization question, you have to make sure you know all the detail before proposing your solution. Make sure the interviewer does not misunderstand you, otherwise it could leave a wrong impression during the interview process.
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