Process
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Two LeetCode-style whiteboard interviews:
- Detecting distance from the origin
- Interval tree algorithm for time interval calculations
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One machine learning design discussion:
- We discussed best features to use and how to be clever when building machine learning models.
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One NLP whiteboarding session:
- Picking the best model/algorithm to solve a particular information extraction problem.
Questions
- Two LeetCode-style whiteboard interviews:
- Detecting distance from the origin
- Interval tree algorithm for time interval calculations
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Interview Statistics
The following metrics were computed from 92 interview experiences for the Meta Machine Learning Engineer role in United States.
Success Rate
11%
Pass Rate
Meta's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive53%
Neutral26%
Negative21%
Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process in United States.
Meta Work Experiences
4.0
Experience at Meta
Machine Learning Engineer • Current Employee
Menlo Park, California, United States
October 23, 2024
Pros: 1. Employees get to work on cutting-edge projects that influence billions of users worldwide, providing ample opportunities for growth and learning in groundbreaking fields.
2. Employees feel a strong sense of accomplishment knowing their work can have a direct impact on global communication, social interaction, and business.
3. Meta is known for offering high salaries, stock options, and comprehensive benefits packages.
Cons: 1. Work-Life Balance Challenges
2. Fast-paced environment.
4.0
High Pay, High Workload
Machine Learning Engineer • Former Employee
London, England, United Kingdom
July 20, 2025
Pros: Competitive salary
Good location
FAANG
Cons: Huge workload
Job security
Etc.
5.0
Stable so far, but frequent team changes
Machine Learning Engineer • Current Employee
Menlo Park, CA
September 18, 2026
Pros: Good until now without layoffs.
Cons: Teams are changing and the organisation is changing rapidly.
- 4.0Experience at MetaMachine Learning Engineer • Current EmployeeMenlo Park, California, United StatesOctober 23, 2024Pros: 1. Employees get to work on cutting-edge projects that influence billions of users worldwide, providing ample opportunities for growth and learning in groundbreaking fields. 2. Employees feel a strong sense of accomplishment knowing their work can have a direct impact on global communication, social interaction, and business. 3. Meta is known for offering high salaries, stock options, and comprehensive benefits packages.Cons: 1. Work-Life Balance Challenges 2. Fast-paced environment.
- 4.0High Pay, High WorkloadMachine Learning Engineer • Former EmployeeLondon, England, United KingdomJuly 20, 2025Pros: Competitive salary Good location FAANGCons: Huge workload Job security Etc.
- 5.0Stable so far, but frequent team changesMachine Learning Engineer • Current EmployeeMenlo Park, CASeptember 18, 2026Pros: Good until now without layoffs.Cons: Teams are changing and the organisation is changing rapidly.
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