I'm applying for an Applied Scientist position at Microsoft. They asked me for giving a research talk for 1 hour. As my works at Amazon are not yet published externally, I'm wondering how I should arrange my presentation. Is it alright to describe the ML model (architecture, performance, etc) I'm currently working on? Also, as 1 hour is quite long, is it acceptable to present multiple projects from different areas?
Thanks.
Current role: AS2
TC: 280k
#amazon #microsoftdatascientist #microsoftinterview
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comments
I’d stick with published/public or common knowledge stuff only. Multiple areas are generally fine but try to deep dive into a max of 2 else you will ruin our of time or folks won’t follow.
Come up with an agenda and ask your recruiter if it is acceptable.
My work is to improve a ML model owned by my team. They have published it to a conference before I joined. Is it fine to present and dive deep such work, and then give general explanation that I'm working on improving it (e.g. what the problem is and mentioning techniques I develop)? It don't quite understand the boundary of the confidential information.