Glassdoor users rated their interview experience at Learnable as 71.4% positive with a difficulty rating score of 3.33 out of 5 (where 5 is the highest level of difficulty). Candidates interviewing for Engineer and MLE rated their interviews as the hardest, whereas interviews for Machine Learning Engineer Intern and Machine Learning Engineer roles were rated as the easiest.
The hiring process at Learnable takes an average of 25 days when considering 7 user submitted interviews across all job titles. To compare, the average duration of hiring at similar companies like BlackRock, Inc. is 14 days, Fabricated Software, Inc. is 2 days, and Apple Inc. is 21 days. Candidates applying for Engineer had the quickest hiring process (on average 20 days), whereas MLE roles had the slowest hiring process (on average 30 days).
The whole process had three interviews, each of which had one interviewer. I feel that all of these three interviewers are professional and respectful. Each interview took about one hour.
Interview questions [1]
Question 1
Introduce a project that you think is the most important
I applied online. The process took 2 weeks. I interviewed at Learnable (Boston, MA) in Apr 2019
Interview
First-round is with HR. The second round is with an engineer from the team you would work with, the third round is a project, and the final round is with the CEO.
The third round is probabily the most important. You are given a fixed time frame to complete a machine learning project and the data and computational resources are provided. You just have to implement an algorithm or model. At the end, you will give a presentation regarding the project you just completed.
Interview questions [1]
Question 1
Describe the projects from your resume and they will ask about the model you used.
A test project about NLP and search engines. The engineers are nice and ask several research-related questions. The overall experience is good.
By the word, there is an online assessment before interview. Relatively easy algorithm problem.