Machine Learning Engineer applicants have rated the interview process at Scale with 3.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 33% positive. To compare, the company-average is 37.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 18 days to get hired, when considering 24 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 Machine Learning Engineer according to 24 Glassdoor interviews include:
Skills test: 31%
One on one interview: 28%
Phone interview: 25%
Presentation: 6%
Group panel interview: 3%
Other: 3%
Personality test: 3%
Here are the most commonly searched roles for interview reports -
I applied through college or university. I interviewed at Scale in Mar 2021
Interview
Was sent an object detection mini project. The project consisted of finding star figures in the night sky. If you break it down to the bone -- imagine implementing YOLO but instead of four points for your bounding box its five.
Interview questions [1]
Question 1
They asked to complete a mini object detection project within a week
I applied online. The process took 3 weeks. I interviewed at Scale (San Francisco, CA) in Jul 2025
Interview
It was very bias. There are a couple of GenZ kids, and they are assessing you very subjectively. Even if you solve the coding questions correctly, they are proposing some stuff to eliminate you.
Interview questions [1]
Question 1
Reading a txt or csv file and organizing data frames accordingly.
Take home and then call with a ML engineer for second round. The take home took quite a while to do but was straightforward. I was nervous for the main one so didn't pass.
I applied online. The process took 4 weeks. I interviewed at Scale
Interview
Applied online. Fist interview was a live coding interview session, dealing with raw data for CV task.
I thought the interview was super easy even though I am more proficient in NLP than CV. I completed everything except for the very last task, for which I didn't have time to finish coding.
I didn't pass.