Can any MLE please describe their day at work. What do you mostly work on ( building pieces for production models ?Eda ? Literally anything else, I'm interviewing for an MLE position at EY but have done DS( kaggle and other hackathons) since my sophomore year. Leetcoding as well. Any other tips for an entry level MLE would be helpful. Yoe : 1 Tc : 99k
You have 1 YOE and have been doing DS for long? 🤣 But being at EY I think you will get through the interviews if you know the core concepts of ML, basics of Big data (should be able to work your way through HIVE, oozie etc) and good presentation skills
Yes, I have been doing kaggle competitions and other hackathons since my sophomore year. Are you an MLE at EY ?Was also curious about the leetcode level I could expect. Don't find any EY tagged questions there.
I am not an MLE but I know folks who are. There is another Consulting specific bowl in Blind. Maybe post your question there? EY doesn’t ask Leetcode
Do you do any c++ coding or is it Python , go?
Is go also used for ml , I thought Python, R, c++ are used widely
Go, Scala
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1/4 of the time I'm thinking of and testing models 1/4 of the time I'm fixing the data pipeline 1/2 of the time I'm integrating models into the product You'll get a wide spectrum of what MLEs do. Some are much more researchy but have a solid hand in the engineering and integration (usually fresh PhD or several YoE). Others can build models and have a solid ML understanding, but more often run experiments, work on the data pipeline, and work on product integration (fresh MS, or a very talented/lucky fresh BS). To some extent there's also a spectrum dependent on your project. Sometimes the models are mostly "off the shelf", and the challenge is more pronounced in product integration. Sometimes the integration is pretty easy but the models are really hard to get right. Sometimes both parts are hard (and that's a shitshow where you learn a lot in a really short amount of time). fyi if you're going for ML engineer you should be studying up on stats and ML, not leetcode.
which org you in Apple? MLE is always asked for LC during interview...
Thanks! I see, I will brush up on stats and ML. Could you expand on fixing the data pipeline? Why would it be a regular thing? I thought that was a one time thing at the start of a project or if the data source changes. Any study material you suggest for stats? I generally use cross-validated( stack exchange to get a good understand)