Hi all, What is the main difference between a Research Scientist and an Applied Scientist at Amazon? Do both get the same experience in terms of building and deploying models? Or do Research Scientists get to do less of advanced ML? TC: 190k #amazonsalary #researchscientist #amazon #alexa #ai #machinelearning
In Amazon, AS is the highest paid job family. If someone has the same applied research capability as RS, and can also productionize their models, that is definitely more valuable than only having one of those skill sets. I am not claiming that RS at Amazon don't code, but coding in Pytorch / MXNet vs deploying the models require dramatically different levels of coding skills.
Do Research Scientists on the Alexa AI team mainly do analytics or do they actually build NLU models?
I doubt they are doing analytics. Best to ask someone who is actually in Alexa. Nevertheless, AS > RS holds even if you are in Alexa AI.
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Applied scientists have more coding responsibilities and have to collaborate with SWEs to productionize their models. They are paid more.
Thanks. Do RS not productionize models? Is there a path to move from RS to AS and is that something that is doable in a year?
Wait AS gets paid more than RS? That doesn't seem right. Also what do research scientists do if they don't really code? Like what is their value to the company?