Amazon Capital One Google Microsoft Meta Bloomberg Coursera I don't have any work experience except for 1 ML research internship in high school and an IT internship at a no-name company (currently) and a few decent but not spectacular projects. I list those specific companies above because I know of >= 1 person who got internships at each one of those companies without any prior SWE experience, but of course I'm gonna to all the Big Ns and FAANG+ (Ideally > $170k TC for new grad and good enough to aim for HFTs next year) I'm a rising sophomore at UW Madison. Please give me a rough ranking of easiest to most difficult companies to get into amongst those for Summer 2024. And also include any other Big N/FAANG+/Unicorn companies that are realistic for me to get into given my background. I plan on beginning pushing out applications starting mid August. Thanks so much for your insights! #swe #software #engineering #faang #bign #FAANG #maang #MAANG #MANGA #manga #amazon #c1
For internship you might be solving 2-3 questions apart from OA and mostly unpredictable what you will be asked. During Amazon internship after OA was asked one medium LC
How does the interview structure differ between intern and new grad? Is there a higher prevalance of LC hards and system design in new grad interviews?
No system design for most of the companies at internship level
Capital One < Microsoft < Bloomberg < Amazon < Meta < Google < LUCK
Don’t know much about Courseera
Wait Microsoft and Bloomberg are easier than Amazon?