Machine Learning Engineer Interview Experience - Dallas, Texas
Process
Asked an easy and a medium OA question. This followed an initial intro.
The first round featured a question from Meta tagged questions on LeetCode, with a twist.
The second round was an onsite with multiple such questions, a system design round based in ML, and a behavioral component.
Questions
Find the maximum value in an array. If multiple elements share the same maximum value, return one of these elements using a uniform distribution.
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Interview Statistics
The following metrics were computed from 2 interview experiences for the Meta Machine Learning Engineer role in Dallas, Texas.
Success Rate
Meta's interview process for their Machine Learning Engineer roles in Dallas, Texas is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having mixed feelings for Meta's Machine Learning Engineer interview process in Dallas, Texas.
Meta Work Experiences
- 5.0Fast-paced, high-quality learning environmentMachine Learning Engineer • Current EmployeeMenlo Park, California, United StatesOctober 3, 2025Pros: I love how they make interns work on projects that are relevant to the teams, so it makes you feel valued. They encourage a very fast-paced learning rate, initiative, and starting beneficial projects on your own.Cons: The learning curve can be quite steep, especially in the early weeks of your internship.
- 5.0Great Pay, Long HoursMachine Learning Engineer • Current EmployeeSydney, New South Wales, AustraliaSeptember 24, 2025Pros: Good benefits and competitive salary.Cons: Time spent on work is much.
- 4.0Efficient, Collaborative, But DemandingMachine Learning Engineer • Former EmployeeNew York, New York, United StatesSeptember 13, 2025Pros: efficient well-paid collaborative environmentCons: On site. Long hours. Competition high.
Meta Interview Questions
