SoundHound is definitely one of the best places I have worked at (having been at FAANG companies before).
I am particularly enthralled by the types of research problems we get to work on. It ranges from core NLP to some intricate engineering problems.
Since it's a mid-aged startup, you get to also interact with a lot of cool people on a daily basis, which is definitely a plus.
Other than that, you also get a lot of perks/benefits which you expect from any IT-based company these days.
Sometimes, you may be facing strict deadlines, but it also largely depends on which team you are in. Communication is very important since the codebase will be fast-changing, and often you may encounter problems related to code versions (even if you are using things like version control!).
Two phone interviews followed by an onsite. The phone interview covered ML fundamentals and LeetCode hard questions. The onsite consisted of four interviews, which included medium LeetCode problems, multiple design questions, and DL basics. The logi
Four stages: 1. Online software knowledge access 2. HR phone screen 3. VP phone interview 4. Onsite interview The first stage is tough. It covers almost all topics in computer science with multiple-choice questions, including coding questions. The
Clear recruiting process, but with many rounds over several months. A lot of coding interviews and a few more about machine learning and statistics. Interviewers were super friendly, but demanding and challenging. Overall, a nice experience, but a ve
Two phone interviews followed by an onsite. The phone interview covered ML fundamentals and LeetCode hard questions. The onsite consisted of four interviews, which included medium LeetCode problems, multiple design questions, and DL basics. The logi
Four stages: 1. Online software knowledge access 2. HR phone screen 3. VP phone interview 4. Onsite interview The first stage is tough. It covers almost all topics in computer science with multiple-choice questions, including coding questions. The
Clear recruiting process, but with many rounds over several months. A lot of coding interviews and a few more about machine learning and statistics. Interviewers were super friendly, but demanding and challenging. Overall, a nice experience, but a ve