Software Engineer - Machine Learning Interview Experience - San Francisco, California
Process
First, I was approached by a recruiter for a software engineering - machine learning position, followed by a screening interview. I received two Medium LeetCode tagged questions for my screening interview. Nothing was out of the ordinary. The interviewer was very polite and professional.
Questions
I cannot disclose the questions because of the NDA.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Meta Software Engineer - Machine Learning role in San Francisco, California.
Success Rate
Meta's interview process for their Software Engineer - Machine Learning roles in San Francisco, California 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 San Francisco, California.
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
