technical phone screen that includes resume discussion and a coding exercise -> 6 hour data science take home that involves traditional data science -> 4 hour onsite that consists of 45 min modules with 15 min breaks between individual modules
take home data science homework is free form, you are given a pipeline with a bunch of classifiers that'll predict whether a user is retained or not based on swiping activity, you're told to add whatever you want to the pipeline to showcase your skills
the tools are the traditional sklearn/numpy/matplotlib etc and the algos involved are regression/xbgoost/other voting algos
Recruiter Call, Hiring Manager Call. The Hinger Manager Call discussed the role with me and ML techniques such as MoE and KV Caching. They were looking for general ML instead of my RL experience.
J'ai postulé via un recruteur. Le processus a pris 3 mois. J'ai passé un entretien chez Hinge en juil. 2025
Entretien
Recruiter found me on Linkedin. Did an online assessment and moved on to hiring manager chat, and a 4-round virtual onsite. I wasn't actively looking at the time so my pace was a little inconsistent but they were able to stay super flexible with me.
Questions d'entretien [1]
Question 1
OA: 2 python and 1 SQL question. Not Leetcode style but it works with your numpy/ math knowledge
