Machine Learning Engineer Interview Experience - Santa Clara, California
Process
Four stages:
- Online software knowledge access
- HR phone screen
- VP phone interview
- Onsite interview
The first stage is tough. It covers almost all topics in computer science with multiple-choice questions, including coding questions.
The second stage is with HR, talking about the company product, vision, job responsibility, etc. HR is very professional and nice.
The third stage is a video interview with the VP, with 3-4 coding questions and 1 probability question, using CoderPad.
The last stage is onsite in Santa Clara HQ, with 5 rounds, each round approximately 1 hour. There is a one-hour break for lunch with the teams.
The interview process was smooth and efficient, and the interviewer and HR were professional and nice. It was a very enjoyable interview experience.
Questions
Probability, signal processing (Fourier transform and sampling theory), deep learning, hidden Markov chains, live coding questions.
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Interview Statistics
The following metrics were computed from 2 interview experiences for the SoundHound Machine Learning Engineer role in Santa Clara, California.
Success Rate
SoundHound's interview process for their Machine Learning Engineer roles in Santa Clara, California is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very good feelings for SoundHound's Machine Learning Engineer interview process in Santa Clara, California.
SoundHound Work Experiences
- 3.0Remote Perks, Layoff FearsMachine Learning Engineer • Former EmployeeSanta Clara, California, United StatesMarch 14, 2023Pros: Remote friendly. Good office lunch.Cons: Teams spread over the world. Had laid off about half of the staff early this year due to financial issues.
- 5.0A great place to work at.Machine Learning Engineer • Current EmployeeSanta Clara, California, United StatesFebruary 22, 2020Pros: 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.Cons: 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!).
- 1.0Brilliant Colleagues, Chaotic CompanyMachine Learning Engineer • Former EmployeeApril 18, 2023Pros: Highly competent colleagues. Super nice colleagues. Highly technical company.Cons: Low morale due to 50% of staff being laid off. Complete disorganization. Even if the company is very engineering-oriented, some engineering roadblocks have not been solved for years.
SoundHound Interview Questions
