Then quora. The scope of ML work at quora is much bigger: personalization, spam detection, NLP, CV, targeting etc. I don't know enough about Square product (edit: product roadmap) but I imagine the focus of ML is fraud detection (they're probably building something similar to Stripe radar).
It’s true that fraud (a very broad area) is the most mature ML use case at Square. But I see many teams working on other ML applications. Without commenting on our roadmap or internal projects, I’ll just note that Square currently sends marketing emails, handles customer service inquiries, issues loans, delivers food, scans for security issues, makes a market in bitcoin, and of course moves billions of dollars through various channels. There is no shortage of opportunities to apply ML.
Fresh PhD is still L3. We used to up level them, but to no ones surprise they couldn't perform at an L4. 2 YOE would put OP at L4, which isn't in 250k range.
You could consider other things such as 1) what size organization do you want to be in? 2) what direction do you want to take your career in terms of industry, 3) what’s the specifics of the role and what will give you more interesting problems. Also most importantly, 4) which offer do you think gives you a more talented team and manager to work with? Given your lower YOE, having a good manager and team to develop your skills is going to be really important.
Not knowing anything else or specifics on the above, would probably bias a bit towards Square given that it’s a great brand name and still growing fast. But again, you need to think hard about what is you want and what you’ll be doing.
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Not knowing anything else or specifics on the above, would probably bias a bit towards Square given that it’s a great brand name and still growing fast. But again, you need to think hard about what is you want and what you’ll be doing.