R1: 1. Coding question involving arrays (LeetCode medium-level difficulty) 2. PySpark scenario-based question focused on data manipulation 3. Asked to write an SQL query to assess understanding of joins R2: 1. HLD question on designing a targeting system
You are an engineer working on search. There has been an incident on social media: users are upset that photo results for certain queries have poor gender diversity, eg. “bodybuilder” shows mostly male bodybuilders. More and more users are posting new queries where results lack gender diversity. This is occurring because our content library is skewed: for each female bodybuilder image we have, we might have 50 male bodybuilders. Another team are manually elevating certain results for certain queries, but this is a manual process, and will not scale well. You have been asked to ship a more general mitigation for this problem by end of day. What would you do?
Are you female? if not you have a completely different bar.
Describe your research work?
During the historical data collection period (of some given time series data about wind turbine bearing temperature), several wind turbines had generator bearing problems. Four wind turbines had generator bearing failures and replacements. The symptom of bearing fault is rising temperature beyond normal range. The task is to build the ML model to detect anomaly in generator bearing and identify wind turbines that shows generator bearing defect. You are required to submit the following: List of WT’s that are suspected to have a generator bearing defect during the data period including 4 that had change out, Result showing the reason for diagnosis, and the code associated with the aforementioned. You are then given ids for wind turbines that had NO generator bearing defect (healthy).
Describe the spectral characteristics of a bearing fault versus a gear fault.
Describe some reprocessing techniques that could be used for analyzing raw vibration data from variable speed rotating machinery.
Do you have experience with Spark or big data tools for machine learning?
why do you want to do this job
lstm , nlp based que in interviews.
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