Process
I was contacted by a recruiter on LinkedIn who scheduled a call with a recruiter from their Machine Learning team.
The recruiter I spoke with was one of the worst I've ever encountered in the Bay Area (though it is quite possible she was actually working out of their Bangalore office). She was rude, uncultured, and uncouth. Frankly, I am surprised that such a person works for Facebook.
She was extremely arrogant, and I still don't know what she was so arrogant about. I guess she is arrogant about the fact that she works at Facebook? So what?
First, she is a recruiter without any tech skills. Second, there are many other hot startups that are pre-IPO and will be more lucrative than working for whatever pathetic team hired her.
After speaking with her, I did not even want to pursue this job anymore. If this is the kind of people who work at FB, I don't want to work there.
FB's culture used to be good. What happened?
Questions
Standard HR type interview questions
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Interview Statistics
The following metrics were computed from 92 interview experiences for the Meta Machine Learning Engineer role in United States.
Success Rate
Meta's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process in United States.
Meta Work Experiences
- 4.0Good time overallMachine Learning Engineer • Former EmployeeJanuary 3, 2025Pros: Smart people and the food, oh my!Cons: Work-life balance is not so great, to be honest.
- 5.0Generous Benefits, Competitive PayMachine Learning Engineer • Former EmployeeLondon, England, United KingdomJune 26, 2024Pros: En terme d'avantages, ce sont des contrats français avec tous les trucs usuels : 25 jours de congés + 2 semaines de RTT, très bonne cantine, participation, etc.Cons: En termes de revenu, c'est environ 50% des US pour la partie fixe/salaire, mais environ 90% pour les actions gratuites (RSU) qui sont versées. Comme la part des actions gratuites dans la rémunération augmente avec l'expérience, l'écart avec les US est plus important pour les juniors que pour les seniors. Levels.fyi a les bons ordres de grandeur, mais il faut faire attention : la plupart des chiffres donnés sont pour les US. Par rapport aux entreprises françaises, ce sont des rémunérations extrêmement intéressantes (facilement 2x-3x plus).
- 2.0Good starting point, bad for growthMachine Learning Engineer • Current EmployeeFebruary 24, 2025Pros: - Could be a fine place at a terminal level. - Free food. - Solid stock payout. - Mostly kind and hard-working ICs.Cons: - Slow and unclear promotion processes with no level transparency, so you cannot easily assess yourself and your compensation. - Lagging promotions are a way to overwork and underpay for longer, touted as "validating that you are ready for the next step". - Excessive bureaucracy has turned the corner from a startup "build fast" vibe to "you build fast, but we move slow". - Culture of overwork without recognition. It's difficult to set boundaries because of management and aggressive/unrealistic roadmaps. This may not be company-wide, but I have also had experiences with very narrow-minded management that drive hard for the bottom line without being capable of looking at the big picture. - If you work diligently and anticipate/look into risks, but no issues arise, you’re blamed for taking too long, even if you were operating within the planned timeline. - However, if risks had materialized and you hadn’t done due diligence, there would have been complaints about lack of preparation.
Meta Interview Questions
