Software Engineer - Machine Learning Interview Experience - Menlo Park, California
Process
The interview process involved:
1 recruiter screening 1 coding interview (LeetCode medium) 4 interviews in one day (2 coding - LeetCode medium, 1 behavioral, 1 system design)
The whole process took 1 month. LeetCode questions are available under the "Meta" tag. For system design, "Recommended Systems in Depth" is a good study resource.
Questions
Design a recommender system for Instagram.
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Interview Statistics
The following metrics were computed from 3 interview experiences for the Meta Software Engineer - Machine Learning role in Menlo Park, California.
Success Rate
Meta's interview process for their Software Engineer - Machine Learning roles in Menlo Park, California is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Candidates reported having mixed feelings for Meta's Software Engineer - Machine Learning interview process in Menlo Park, California.
Meta Work Experiences
- 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.
- 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.
Meta Interview Questions
