Challenges of being a Machine Learning engineer
For the MLE’s out there, what are the most challenging aspects of your role? Getting buy in for building a data product? Maintaining production systems?
LinkedIn ThHT14 Mar 8, 2019
Caring about applied but glorifed stats :)
LinkedIn inlook Mar 8, 2019
Coming up with new ways to improve mature models. Getting clean input data from messy data sources.
LinkedIn yanvrGa Mar 9, 2019
What does ‘applied’ mean?
At a tech company getting buy-in with a reasonable plan is pretty straightforward. Scaling and designing systems is challenging. Whether your system is significantly better than a simpler one is a big question.