Ho presentato la mia candidatura tramite segnalazione di un dipendente. La procedura ha richiesto 2 mesi. Ho sostenuto un colloquio presso Lyft (San Francisco, CA) nel mese di apr 2024
Colloquio
The technical phone screen was fully utilized to get a good sense of Lyft as a product and all the stats/probability questions were all also asked keeping in mind Lyft use cases.
Domande di colloquio [1]
Domanda 1
1.Product sense, metrics and KPI design (read up on Lyft as a product from their blogs)
2. Stats and probability- definitely brush up your basics on different probability distributions (binomial), confidence intervals and significance, p-values, Bayesian inference etc.
3. Experiment design and analysis process
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.
Ho sostenuto un colloquio presso Lyft (Toronto, ON) nel mese di ago 2025
Colloquio
“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
Domande di colloquio [1]
Domanda 1
Have a good understanding of stats/probabilities/ML/Coding(SQL,Python), and business domain and metrics.
