Machine Learning Engineer Interview Experience - Boston, Massachusetts
May 1, 2023
Negative ExperienceNo Offer
Process
There was a recruiter call. Followed by my coding rounds (Python and SQL). Then another system design round. I was ghosted by the recruiter. I got a reject on the portal two months later.
Questions
- Python - subarray sum equals k
- Resume questions
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Interview Statistics
The following metrics were computed from 3 interview experiences for the Fidelity Investments Machine Learning Engineer role in Boston, Massachusetts.
Success Rate
33%
Pass Rate
Fidelity Investments's interview process for their Machine Learning Engineer roles in Boston, Massachusetts is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Positive33%
Neutral0%
Negative67%
Candidates reported having very negative feelings for Fidelity Investments's Machine Learning Engineer interview process in Boston, Massachusetts.
Fidelity Investments Work Experiences
5.0
Great Team, Tough Learning Curve
Machine Learning Engineer • Current Employee
Boston, Massachusetts, United States
April 17, 2024
Pros: Great manager and knowledgeable teammates
Cons: Beginner steep learning curve can be a problem.
5.0
Great place to work
Machine Learning Engineer • Current Employee
September 4, 2023
Pros: Friendly culture and great benefits.
Cons: Remote work is being removed as people are required to spend more and more time in the office.
5.0
Flexible But Too Lax
Machine Learning Engineer • Current Employee
Amherst, Massachusetts, United States
May 22, 2021
Pros: They have a flexible work environment.
Cons: Has a very lax work culture
- 5.0Great Team, Tough Learning CurveMachine Learning Engineer • Current EmployeeBoston, Massachusetts, United StatesApril 17, 2024Pros: Great manager and knowledgeable teammatesCons: Beginner steep learning curve can be a problem.
- 5.0Great place to workMachine Learning Engineer • Current EmployeeSeptember 4, 2023Pros: Friendly culture and great benefits.Cons: Remote work is being removed as people are required to spend more and more time in the office.
- 5.0Flexible But Too LaxMachine Learning Engineer • Current EmployeeAmherst, Massachusetts, United StatesMay 22, 2021Pros: They have a flexible work environment.Cons: Has a very lax work culture
Fidelity Investments Interview Questions
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