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      Machine Learning Engineer Interview

      17 Apr 2026
      Anonymous interview candidate
      New York, NY
      No offer
      Neutral experience
      Average interview

      Application

      I interviewed at Hinge (New York, NY)

      Interview

      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.

      Other Machine Learning Engineer interview reviews for Hinge

      Machine Learning Engineer Interview

      29 Sept 2025
      Anonymous employee
      Accepted offer
      Positive experience
      Average interview

      Application

      I applied through a recruiter. The process took 3 months. I interviewed at Hinge in July 2025

      Interview

      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.

      Interview questions [1]

      Question 1

      OA: 2 python and 1 SQL question. Not Leetcode style but it works with your numpy/ math knowledge
      Answer question

      Machine Learning Engineer Interview

      22 Apr 2020
      Anonymous interview candidate
      No offer
      Neutral experience
      Average interview

      Application

      I interviewed at Hinge

      Interview

      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

      Interview questions [3]

      Question 1

      implement weighted sampling coding question
      1 Answer

      Question 2

      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
      1 Answer

      Question 3

      design the data engineering architecture for calculating who your recommended matches are going to be
      1 Answer
      1