Take home assignment -> Tech Screening -> four interviews
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Take home was on DL fundamentals and implementation quality with torch libraries. Tech Screening was on Pandas and Numpy with strict time constraints.
The interview process includes an initial call, followed by a home assignment, a live coding round, a technical interview, and concludes with the final round for decision-making and offer discussion.
I applied through a recruiter. The process took 2 weeks. I interviewed at Scale
Interview
Got reached out to by a recruiter. Did a first technical interview debugging some code. On-site was culture + research interview (open ended questions about LLMs + paper understanding) + coding interview classic LC-like question.
I applied through an employee referral. The process took 3 weeks. I interviewed at Scale (San Francisco, CA) in Mar 2024
Interview
Process consisted of a technical screen (take-home coding challenge based either on NLP or computer vision) followed by a live coding session. The final step is a set of onsite interviews.
Interview questions [1]
Question 1
Cannot reveal actual interview questions as I signed an NDA
ML Engineer applicants have rated the interview process at Scale with 3.2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 37.4% positive. This is according to Glassdoor user ratings.
Candidates applying for ML Engineer roles take an average of 18 days to get hired, when considering 5 user submitted interviews for this role. To compare, the hiring process at Scale overall takes an average of 23 days.
Common stages of the interview process at Scale as a ML Engineer according to 5 Glassdoor interviews include:
Phone interview: 50%
Skills test: 50%
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