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Machine Learning Engineer Interview Experience

October 1, 2021
Positive ExperienceNo Offer

Process

The interview process was fast and crisp. The HR was always in contact and responded to mails promptly.

Had an introduction call with HR and was handed a take-home assignment on testing a dataset with a given model. The assignment was fairly simple and requires basic knowledge of Docker systems.

Then had a call with the manager of the team recruiting, talking about exceptions and my past experiences.

And lastly, had an onsite 3-hour (3 rounds) interview:

  1. Talk on the take-home assignment, on my coding style, and how I would have done things differently.
  2. Projects, expectations, and situation-based questions like best project, how I would communicate a discrepancy, and such.
  3. ML pipeline design questions.

Questions

Given an NLP model, how would you design metrics for the ML pipeline?

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Interview Statistics

The following metrics were computed from 5 interview experiences for the Tempus Machine Learning Engineer role in United States.

Success Rate

0%
Pass Rate

Tempus's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive40%
Neutral40%
Negative20%

Candidates reported having good feelings for Tempus's Machine Learning Engineer interview process in United States.

Tempus Work Experiences