I have recently received two competing offers for Machine Learning Engineer position at San Francisco 1) Salesforce LMTS - 351K TC + 20K Relocation (240K Base) 2) Meta E5 - 428K TC + 85K Sign On + Relocation (220K Base) The Salesforce offer is for Staff level, Meta offer is for Senior. Trying to get some guidance on points like Work-Life Balance, Learning opportunity, Growth, Refresher RSUs and the disparity between Staff vs Senior in the two offers. Also, would it be hard to get a team match at Meta bootcamp? I know the hiring team at Salesforce and liked them Which would you recommend and why? Current TC - 240K - 6 YOE in Data Science/ML
How is this a question
I guess the WLB is primarily on my mind
Ah ok - makes sense - btw Salesforce is a large company and there are some teams that don't have great WLB, so it's hard to generalize. I interviewed for a team there, and turned them down after one of the engineers said they're not slow paced and what I've heard about Salesforce is not true for their team. Best bet would be to ask the engineers directly in the team.
Salesforce LMTS is more like a senior elsewhere lol
Ahh thats good to know. Thanks
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