Software Engineer - Machine Learning Interview Experience - United States
Process
The interview process is very extensive. It begins with a coding round, followed by four to five interviews. These include two more coding interviews, one behavioral interview, and one system design interview. Potentially, there could be another follow-up interview if more signal is needed.
Questions
Why do you want to work at Meta?
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Interview Statistics
The following metrics were computed from 11 interview experiences for the Meta Software Engineer - Machine Learning role in United States.
Success Rate
Meta's interview process for their Software Engineer - Machine Learning roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very good feelings for Meta's Software Engineer - Machine Learning interview process in United States.
Meta Work Experiences
- 3.0PSC is stressfulSoftware Engineer - Machine Learning • Current EmployeeSan Francisco, California, United StatesApril 29, 2025Pros: Top of market pay, and it seems like people who work here do care about the money.Cons: As an MLE, delivery impact each half is stressful and unrealistic. PERM's high failure rate is hard for H1B holders.
- 1.0Limited Growth, Poor EnvironmentSoftware Engineer - Machine Learning • Current EmployeeMenlo Park, California, United StatesDecember 23, 2024Pros: Lots of GPU In-house LLM for any useCons: Some orgs like to adopt a zero-sum working atmosphere and like to compare people. It is hard to have technical advancement given everyone is chasing lower-hanging fruit. Low hourly pay.
- 5.0Good pay and benefits. Nothing elseSoftware Engineer - Machine Learning • Current EmployeeMenlo Park, California, United StatesApril 24, 2023Pros: Good pay and benefits package. Love the food.Cons: Bad work-life balance, and it can be hard to ramp up to the culture.
Meta Interview Questions
