Senior Machine Learning Engineer Interview Experience - Menlo Park, California
Process
Technical screening.
Two coding questions and two behavioral questions.
The coding questions are not hard once you figure them out.
The behavioral questions are OK.
Coding question 1 is a BFS binary tree traversal.
Coding question 2 is a weighted nested list sum.
Questions
This is a Breadth-First Search (BFS) binary tree traversal.
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Interview Statistics
The following metrics were computed from 2 interview experiences for the Meta Senior Machine Learning Engineer role in Menlo Park, California.
Success Rate
Meta's interview process for their Senior Machine Learning Engineer roles in Menlo Park, California is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very good feelings for Meta's Senior Machine Learning Engineer interview process in Menlo Park, California.
Meta Work Experiences
- 3.0Good but stressfulSenior Machine Learning Engineer • Current EmployeeMenlo Park, California, United StatesOctober 19, 2022Pros: Toolsets are very convenient and efficient.Cons: The review process could be stressful. There's too much bottom-up.
- 3.0Some teams are very toxicSenior Machine Learning Engineer • Former EmployeeNew York, New York, United StatesMay 13, 2024Pros: Benefit Salary Flexibility of team transitionCons: Work-life balance Aggressive "make impact" culture
- 4.0Good compensation, good colleagues, unhealthy cultureSenior Machine Learning Engineer • Current EmployeeBellevue, Washington, United StatesNovember 2, 2023Pros: Compensation is solid, and the company's perks and benefits are always on point. Colleagues are smart and supportive.Cons: A notoriously fast-moving culture makes most products short-term. It's a pattern across the company, and only a few teams are excluded from this culture.
Meta Interview Questions
