Scale Machine Learning Research Engineer interview questions
Updated Apr 30, 2026
based on 3 ratings
Difficulty
Average
Experience
Mixed
How others got an interview
100%
Applied online
Applied online
Interview search
3 interviews
Scale interviews FAQs
Candidates applying for Machine Learning Research Engineer roles take an average of 14 days to get hired, when considering 3 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 Research Engineer according to 3 Glassdoor interviews include:
Skills test: 67%
One on one interview: 33%
Here are the most commonly searched roles for interview reports -
HM chat
ask you to introduce yourself, and then they choose a project to dive deep.
what are the challenges?
how was the decision being made, what was the intuition.
why scale ai.
I applied online. The process took 2 weeks. I interviewed at Scale in Oct 2023
Interview
For those valuing their time in the application process, the interview at Scale is a masterclass in efficiency!!! The company's rubric-less computer vision assessment poses problems: Ambiguity: No clear criteria leaves applicants guessing about expectations. Bias and Inconsistency: Lack of standardized evaluation can lead to subjective judgments. Arbitrary Decision Making: Applicants can be rejected on undisclosed standards, compromising fairness and transparency.
I applied online. I interviewed at Scale in Aug 2022
Interview
As a next step, we'd like to invite you to complete a take-home challenge (should take ~2 hours to complete).
You will have the choice between the two assessment types outlined below.
CV Challenge | Astronomy
NL Challenge | Polynomial
You'll have one week to complete the assessment. If you need more time, please let us know.
Once you complete the assignment, you can send it to me directly or submit it to the link below.