J'ai postulé en ligne. J'ai passé un entretien chez Lyft en mars 2021
Entretien
The process contains 4 parts:
one short HR call;
one 1-hr technical phone screen. The technical questions are not very technical. It's more like a consulting type of interview.
a 24-hr project;
and onsite.
Rarely I feel so negatively about a company during the interview stage. The take home project takes so much time. They say 5-6 hrs... sure... I'd say unless you are desperately looking for a job, it's not worth it.
What upsets me so much during the process is that they did not say I would need to use my own computational resource beforehand. I assumed I would at least be given some temporary access to some cloud service. No nothing. So I bought a $10 temporary cloud service on the day of the project. Lyft refused to reimburse me for this expensive. I found this absolutely unacceptable. This makes me feel the company is taking advantage of interviewees to solve their problems. Overall very bad impression.
Questions d'entretien [1]
Question 1
How do you explain p value to someone who's not technical?
I interviewed with a recruiter last fall. Since I was graduating in eight months, she said she'd talk to the hiring manager about whether to send technical interviews now or hold off for different openings in the future, and would get back to me in a few days. She never followed up and didn't respond to my emails. Eventually, I got an automated rejection, the subject line literally read "Update on [insert job title]," they hadn't even bothered to fill in the job title. The whole process felt unprofessional.
J'ai passé un entretien chez Lyft (Toronto, ON) en août 2025
Entretien
“I completed all interview rounds — including HR, technical screening, product sense, business case, algorithm live coding, decisions live coding, machine learning, and experience interviews — but the company ultimately selected another candidate
Questions d'entretien [1]
Question 1
Have a good understanding of stats/probabilities/ML/Coding(SQL,Python), and business domain and metrics.