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Machine Learning Engineer Interview Experience - United States

January 1, 2022
Negative ExperienceNo Offer

Process

HR contacted me regarding the ML Engineer role. The interview process was divided into three rounds.

The first round was a phone screen with the recruiter, asking questions about the experience required for the role.

The second round was a technical interview with a focus on Python and SQL. The final round was a panel with a focus on Machine Learning concepts, situational awareness, and behavioral questions.

The HR did not respond after the final interviews, and I never heard back from the company, even after numerous attempts at contacting them.

Questions

First Round

  1. Basics of Python (Data Structures, OOP Concepts, and basic coding mechanisms)
  2. SQL (Basic Querying, Window functions, and joins)

Second Round

  1. Machine Learning Concepts

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Interview Statistics

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

Success Rate

20%
Pass Rate

Fidelity Investments's interview process for their Machine Learning Engineer roles in the United States is very selective, failing most engineers who go through it.

Experience Rating

Positive20%
Neutral0%
Negative80%

Candidates reported having very negative feelings for Fidelity Investments's Machine Learning Engineer interview process in United States.

Fidelity Investments Work Experiences