Specialized in computer vision and machine learning.
World-class talent and coworkers.
AR/VR/MR focus creates space for interesting technical and research challenges.
Office size large enough to give sufficient diversity of teams and projects, but not too large to make it impersonal.
Competitive salary in one of the world's best-ranking cities.
Limited onsite benefits/facilities. Projects often have intense collaboration with the US, resulting in late working needs. Dynamic environment and projects – for some it is energizing; for others, it can also be tiring.
Applied via referral. The recruiter reached out pretty quickly, honestly one of the smoother processes I've had. First was the recruiter phone screen. It was mostly background, why Meta, and if I knew what the role really meant (managing engineers a
I did not get to the second round. I had a decent interview. The interview included a people management question and a system design question. Topics covered: * Hiring process * Performance management The system design question was to design Facebo
Standard and upfront interview process. It was really well described, and the recruiters gave a lot of resources and assistance with any questions and with understanding the overall process and how best to prepare.
Applied via referral. The recruiter reached out pretty quickly, honestly one of the smoother processes I've had. First was the recruiter phone screen. It was mostly background, why Meta, and if I knew what the role really meant (managing engineers a
I did not get to the second round. I had a decent interview. The interview included a people management question and a system design question. Topics covered: * Hiring process * Performance management The system design question was to design Facebo
Standard and upfront interview process. It was really well described, and the recruiters gave a lot of resources and assistance with any questions and with understanding the overall process and how best to prepare.