Soon to be phd graduate working on computer vision. I have two L5/E4 applied scientist offers on teams that really align with my research interests. Based on team, cant go wrong with either option since they are both research teams based on my domain knowledge. Additionally, Amazon manager said no on call since it’s a research team. I have not started negotiations but I’ve heard Amazon can offer over 400k averaged over 4 years and Meta’s “max” is ~170/400/100 Considering the raw TC difference will be around 100k, should I even consider Meta. I am aware Meta has better wlb, faster promo, better benefits, refreshers, food, etc but is it worth giving up 100k pretax? Amazon: 360k initial offer Meta: standard E4 offer Edit: TBH, I feel like the WLB wouldn’t be too bad on the Amazon team. It’s a research team where we hand off our models to the production sde team. Also no on call. Feels like normal phd research to me Edit: Meta “max” offer 170/400/75. Amazon 410k average over 4 years (first two years will actually be close to mid 400 each year) after doing the calculations with Meta refreshers and bonuses assuming MA and no promotion, the gap is pretty close and personally negligible. As others mentioned, it will just depend on stock performance.
Which field of science are you in?
Object detection
So it’s not really 100k difference is it? Amortize the signing bonus over 4 years and you get to 305k. FB has pretty big refreshers and Amazon does not (if I recall if the stock performs well they’ll treat that like you got a raise and give less refreshers). Amazon backloads the equity, right? Though I know they do that signing bonus to offset thing. FB has better benefits. Getting promoted from IC4->IC5 is pretty easy. Basically, comp may be closer than it appears if you look at a 2-4 year horizon. It may ultimately come down to stock performance. I work in a similar role — I think it’s a plus if you DO have to do eng work as it gives you more flexibility down the road in your career (specifically, MLE roles). Handing off your model to someone else means you’re missing a huge part of the ML lifecycle
Well I meant the raw TC difference will be 100 (on paper) unless I can get an out of band offer for meta. Yep exactly. All the things you said will definitely close this gap.
Amazon search?
it is upto you to balance work with your life and not something that is listed as a “perk”. For a new graduate that should be least of your worries and join somewhere where you will be challenged, work with A team and learn a lot
Are you pre allocated or going through bootcamp? Do you know if you’re classified as ML generalist or ML specialist? If you’re pre allocated ML specialist then wlb at fb should be good compared to ML generalist on product team.
Pre allocated ML specialist for specific product. Is this a pretty well known difference between the two types of ML roles? Or just based on observation
no. ml generalists deal with fire fighting or short sighted goals. anyways starting 2022 PSC will be 1 year so more time available.
Is this role in Meta different from research scientist?
More focus on research to come up with better models for production data rather than public data. So less emphasize on publishing
Did you intern at Amazon? Also what’s your location? Asking because I’m in the same boat. Have an offer from while interviewing with Meta.
Which university are you doing your PhD from?
I hope you chose Amazon
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Favorite cloud
WLB > TC > …rest
It’s FB vs Amazon dude