I'm moving to Facebook from Microsoft as E5 in a few weeks. I've worked on Azure last ~8 years and I'm hired as 'Software Engineer - Infrastructure' but I've been thinking about moving to ML/AI field for some time. 1) Do you think I can find a ML/AI related position during bootcamp even though I don't have a background? 2) If yes, then would it be wise to do so given PIP culture of FB and required learning curve? #machinelearning #ai yoe: ~8 | new tc: ~350K
Typical advice is to start out doing ML infra and get close to the ML folks and eventually they can pull you in. I've seen it happen.
Thanks bunch, good point, not sure whether I'll be able to find ML infra positions around Seattle (assuming regular ML/AI positions are more common, perhaps not though).
One precursor step you could take to ML infra too is to get into data infra. ML eng is just data infra but you support model inference/deployment/iteration as well.
Thanks, good point given that I might not find an available position right away for ML infra.
Could you share your offer breakup?
I feel ML infra and infra are better than doing core ML which is saturated. Why do you want to move ?
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What kind of infra you worked on in MS? How diff is interview for infra track in terms of expectations and sys design questions?
Worked on Compute. Nothing exceptional for infra I guess. For system design, the hard part was to keep talking - I missed couple of important points which I wouldn't if I had stopped for a two minutes and think quietly - so something to practice. For algo questions, they were medium LC but two questions for each session, so you have to manage the time - one thing is it takes long time to walk over code with example input so practice/consider that as well.
Yeah makes sense. Thanks. Was sys design something from Grokking or hard core infra design something like storage, or compute or database?