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      Amii (Canada)

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      Machine Learning Resident Interview

      Apr 9, 2025
      Anonymous interview candidate
      No offer
      Negative experience
      Average interview

      Application

      I applied through other source. The process took 6 weeks. I interviewed at Amii (Canada) in Feb 2025

      Interview

      My experience with the AMII interview process was extremely disappointing and unprofessional, both within the Industry Team and the Advanced Technology Team. Across multiple rounds, I encountered a recurring pattern of disorganization, lack of technical depth, and poor communication. To begin with, interviewers regularly showed up late to scheduled calls without apology or explanation, reflecting a lack of respect for the candidate's time. This was a consistent issue, not a one-off. The technical interview process was even more concerning. The questions were often generic, irrelevant to the role, and at times felt like they were hastily pulled from internet searches without true understanding. In one case, for a role focused on time series analysis, the interviewers asked random, surface-level questions unrelated to the problem domain. When I attempted to delve into deeper technical discussion, it quickly became evident that the interviewers lacked the necessary knowledge to engage meaningfully. This raised serious concerns about the technical credibility of the team. After passing the technical round, I was invited to a situational/behavioral interview that was equally frustrating. Many of the questions were irrelevant to the role for example, being asked how I would run a social event, my favorite basketball team, and to evaluate the behavior of former colleagues. It was difficult to understand how these were in any way related to a one-year machine learning residency contract. The worst part, however, was the post-interview communication. After completing all three stages, I received no response for over two weeks despite following up. Eventually, a generic rejection email arrived three weeks later with no feedback or explanation. This entire experience happened twice—once with each team—and both followed an almost identical, poorly executed process. AMII presents itself as a leader in AI research, but their hiring practices do not reflect the standards of a professional or technically competent organization. I hope this feedback encourages AMII to reflect seriously on their candidate experience, technical evaluation practices, and internal communication protocols.

      Interview questions [1]

      Question 1

      how I would run a social event, my favorite basketball team, and to evaluate the behavior of former colleagues.
      Answer question
      2

      Other Machine Learning Resident interview reviews for Amii (Canada)

      Machine Learning Resident Interview

      Mar 25, 2026
      Anonymous interview candidate
      Edmonton, AB
      No offer
      Negative experience
      Difficult interview

      Application

      I interviewed at Amii (Canada) (Edmonton, AB)

      Interview

      First round of interview, 20 min HR/Product Manager talk about the background and Role description, followed by an hour-long technical interview with a specialist and client on ML, RL, LLM topics. One thing, RL was the smallest part of the role description and was never mentioned in the first round, and even in the invitation email for the second round, but they asked 3-4 RL and sequential decision-making questions, which was a surprise to me.

      Interview questions [1]

      Question 1

      Overfitting, underfitting, data handling, Deep Learning architectures, RL, Sequential decision making, Agentic AI and LLMs
      Answer question

      Machine Learning Resident Interview

      Apr 23, 2024
      Anonymous employee
      Accepted offer
      Positive experience
      Average interview

      Application

      I applied online. I interviewed at Amii (Canada)

      Interview

      Take home project followed by technical interview on your approach and some general ML questions, mostly based on deep learning, final meeting with client, take home project is easy and takes couple of hours

      Interview questions [1]

      Question 1

      Difference between boosting and bagging
      Answer question
      3

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