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
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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.
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)